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ARK: Cathie Wood And The Exquisite Art Of Tail Gunning

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Meme Stock or Not, Analysts See Upside for Wendy’s Shares

Go to Tiger App to see more news

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1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187982107","repostId":"1107804845","repostType":4,"repost":{"id":"1107804845","kind":"news","pubTimestamp":1623715305,"share":"https://ttm.financial/m/news/1107804845?lang=en_US&edition=fundamental","pubTime":"2021-06-15 08:01","market":"us","language":"en","title":"Meme Stock or Not, Analysts See Upside for Wendy’s Shares","url":"https://stock-news.laohu8.com/highlight/detail?id=1107804845","media":"Barrons","summary":"Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the","content":"<p>Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.</p>\n<p>Wendy’s stock (ticker: WEN) was up 1.5% to $24.50 on Monday. Shares soared to a close of $28.87 last Tuesday, but pulled back through the tail end of the week. In between, speculation swirled that the company was caught in a broader market fascination&nbsp;with meme stocks.</p>\n<p>Piper Sandler analyst Nicole Miller Regan wrote in a note on Sunday that she’s seeing increasing momentum for Wendy’s. The analyst estimates May same-store-sales growth in the mid teens, pointing to menu innovation efforts and its app and related loyalty program.</p>\n<p>“The company is continuing to drive awareness and usage of the new breakfast daypart, drive digital sales, and capture an increasing percentage of sales as consumer mobility rebounds via new product news and strong store-level operational execution,” the analyst wrote.</p>\n<p>The note did not reference meme stock speculation. Unlike more popular meme stocks&nbsp;GameStop(GME) and&nbsp;AMC Entertainment(AMC), Wendy’s does not have an excessive short interest. It also&nbsp;was solidly liked&nbsp;by Wall Street analysts. Of the 27 analysts listed by FactSet, 15 have Buy ratings.</p>\n<p>Some speculated that Wall Street pros tracking&nbsp;ticker mentions in Reddit threads&nbsp;may have been bamboozled by the phrase “Wen moon?” or “Wen rich?” which are winking references to the notion that Reddit users are “dumb money” wondering when their latest stock will take off,according to MarketWatch. “WEN” is also the ticker for Wendy’s.</p>\n<p>Regardless, the Piper Sandler analyst views the balance sheet and efforts to pay down debt and repurchase shares positively. She reiterated an Overweight rating and $27 price target, arguing the stock’s recent levels appear to be a decent entry point.</p>\n<p>“Over time, the company is positioned to leverage its technology and mobile ordering platforms (as a complement to mobile/grab-and-go and curbsidedelivery functions, as an example) while also working to deliver a series of increasingly personalized communications and offers to its growing base of guests within its recently launched loyalty program (which include 13 million total and 3 million active members as of the 1Q21 period),” she added.</p>\n<p>Also on Monday, Northcoast analyst Jim Sanderson upgraded the stock to Buy from Neutral with a $30 price target, according to Bloomberg.</p>\n<p>The mean analyst price target for Wendy’s is $26.15, according to FactSet. Meme or not, analysts still see upside.</p>","source":"lsy1601382232898","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Meme Stock or Not, Analysts See Upside for Wendy’s Shares</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nMeme Stock or Not, Analysts See Upside for Wendy’s Shares\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 08:01 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA><strong>Barrons</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.\nWendy’s stock (ticker: WEN) was up 1.5% to $24.50 ...</p>\n\n<a href=\"https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"WEN":"温蒂汉堡"},"source_url":"https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1107804845","content_text":"Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.\nWendy’s stock (ticker: WEN) was up 1.5% to $24.50 on Monday. Shares soared to a close of $28.87 last Tuesday, but pulled back through the tail end of the week. In between, speculation swirled that the company was caught in a broader market fascination with meme stocks.\nPiper Sandler analyst Nicole Miller Regan wrote in a note on Sunday that she’s seeing increasing momentum for Wendy’s. The analyst estimates May same-store-sales growth in the mid teens, pointing to menu innovation efforts and its app and related loyalty program.\n“The company is continuing to drive awareness and usage of the new breakfast daypart, drive digital sales, and capture an increasing percentage of sales as consumer mobility rebounds via new product news and strong store-level operational execution,” the analyst wrote.\nThe note did not reference meme stock speculation. Unlike more popular meme stocks GameStop(GME) and AMC Entertainment(AMC), Wendy’s does not have an excessive short interest. It also was solidly liked by Wall Street analysts. Of the 27 analysts listed by FactSet, 15 have Buy ratings.\nSome speculated that Wall Street pros tracking ticker mentions in Reddit threads may have been bamboozled by the phrase “Wen moon?” or “Wen rich?” which are winking references to the notion that Reddit users are “dumb money” wondering when their latest stock will take off,according to MarketWatch. “WEN” is also the ticker for Wendy’s.\nRegardless, the Piper Sandler analyst views the balance sheet and efforts to pay down debt and repurchase shares positively. She reiterated an Overweight rating and $27 price target, arguing the stock’s recent levels appear to be a decent entry point.\n“Over time, the company is positioned to leverage its technology and mobile ordering platforms (as a complement to mobile/grab-and-go and curbsidedelivery functions, as an example) while also working to deliver a series of increasingly personalized communications and offers to its growing base of guests within its recently launched loyalty program (which include 13 million total and 3 million active members as of the 1Q21 period),” she added.\nAlso on Monday, Northcoast analyst Jim Sanderson upgraded the stock to Buy from Neutral with a $30 price target, according to Bloomberg.\nThe mean analyst price target for Wendy’s is $26.15, according to FactSet. Meme or not, analysts still see upside.","news_type":1,"symbols_score_info":{"WEN":0.9}},"isVote":1,"tweetType":1,"viewCount":2678,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187982911,"gmtCreate":1623734806133,"gmtModify":1704209957082,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"lol","listText":"lol","text":"lol","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187982911","repostId":"2143733744","repostType":4,"repost":{"id":"2143733744","kind":"highlight","weMediaInfo":{"introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"media_name":"Reuters","id":"1036604489","head_image":"https://static.tigerbbs.com/443ce19704621c837795676028cec868"},"pubTimestamp":1623717601,"share":"https://ttm.financial/m/news/2143733744?lang=en_US&edition=fundamental","pubTime":"2021-06-15 08:40","market":"us","language":"en","title":"Disney CEO says 40% of upfront ad sales went to streaming or digital","url":"https://stock-news.laohu8.com/highlight/detail?id=2143733744","media":"Reuters","summary":"LOS ANGELES, June 14 (Reuters) - Walt Disney Co's advertising revenue for the upcoming fall televisi","content":"<p>LOS ANGELES, June 14 (Reuters) - Walt Disney Co's advertising revenue for the upcoming fall television season rose by \"double-digits\" from the levels of 2019 before the global pandemic, Chief Executive Bob Chapek said on Monday.</p>\n<p>About 40% of sales during the \"upfront\" sales period went to streaming or digital ads, Chapek said at Credit Suisse's virtual Communications Conference.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Disney CEO says 40% of upfront ad sales went to streaming or digital</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; 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overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nDisney CEO says 40% of upfront ad sales went to streaming or digital\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1036604489\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/443ce19704621c837795676028cec868);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2021-06-15 08:40</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>LOS ANGELES, June 14 (Reuters) - Walt Disney Co's advertising revenue for the upcoming fall television season rose by \"double-digits\" from the levels of 2019 before the global pandemic, Chief Executive Bob Chapek said on Monday.</p>\n<p>About 40% of sales during the \"upfront\" sales period went to streaming or digital ads, Chapek said at Credit Suisse's virtual Communications Conference.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"DIS":"迪士尼"},"is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2143733744","content_text":"LOS ANGELES, June 14 (Reuters) - Walt Disney Co's advertising revenue for the upcoming fall television season rose by \"double-digits\" from the levels of 2019 before the global pandemic, Chief Executive Bob Chapek said on Monday.\nAbout 40% of sales during the \"upfront\" sales period went to streaming or digital ads, Chapek said at Credit Suisse's virtual Communications Conference.","news_type":1,"symbols_score_info":{"DIS":0.9}},"isVote":1,"tweetType":1,"viewCount":2117,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187986544,"gmtCreate":1623734793288,"gmtModify":1704209956426,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"beauty","listText":"beauty","text":"beauty","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187986544","repostId":"1163215550","repostType":4,"repost":{"id":"1163215550","kind":"news","pubTimestamp":1623721313,"share":"https://ttm.financial/m/news/1163215550?lang=en_US&edition=fundamental","pubTime":"2021-06-15 09:41","market":"hk","language":"en","title":"Hong Kong: Stocks begin with gains","url":"https://stock-news.laohu8.com/highlight/detail?id=1163215550","media":"AFP","summary":"Hong Kong stocks opened Tuesday morning on the front foot as traders returned from a long weekend to","content":"<p>Hong Kong stocks opened Tuesday morning on the front foot as traders returned from a long weekend to play catch-up with other markets following another record performance on Wall Street.</p>\n<p>The Hang Seng Index added 0.4 per cent, or 104.31 points, to 28,946.44.</p>\n<p>The benchmark Shanghai Composite Index dipped 0.1 per cent, or 2.28 points, to 3,587.47, while the Shenzhen Composite Index on China's second exchange was barely moved, inching up 0.24 points to 2,408.18.</p>","source":"lsy1605843958005","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Hong Kong: Stocks begin with gains</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; 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height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nHong Kong: Stocks begin with gains\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 09:41 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.businesstimes.com.sg/stocks/hong-kong-stocks-begin-with-gains-1><strong>AFP</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Hong Kong stocks opened Tuesday morning on the front foot as traders returned from a long weekend to play catch-up with other markets following another record performance on Wall Street.\nThe Hang Seng...</p>\n\n<a href=\"https://www.businesstimes.com.sg/stocks/hong-kong-stocks-begin-with-gains-1\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"HSTECH":"恒生科技指数","HSCEI":"国企指数","HSI":"恒生指数","HSCCI":"红筹指数"},"source_url":"https://www.businesstimes.com.sg/stocks/hong-kong-stocks-begin-with-gains-1","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1163215550","content_text":"Hong Kong stocks opened Tuesday morning on the front foot as traders returned from a long weekend to play catch-up with other markets following another record performance on Wall Street.\nThe Hang Seng Index added 0.4 per cent, or 104.31 points, to 28,946.44.\nThe benchmark Shanghai Composite Index dipped 0.1 per cent, or 2.28 points, to 3,587.47, while the Shenzhen Composite Index on China's second exchange was barely moved, inching up 0.24 points to 2,408.18.","news_type":1,"symbols_score_info":{"HSI":0.9,"HSTECH":0.9,"HSCCI":0.9,"HSCEI":0.9}},"isVote":1,"tweetType":1,"viewCount":2296,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187986910,"gmtCreate":1623734782630,"gmtModify":1704209955123,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"nice","listText":"nice","text":"nice","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187986910","repostId":"2143188731","repostType":4,"repost":{"id":"2143188731","kind":"highlight","weMediaInfo":{"introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"media_name":"Reuters","id":"1036604489","head_image":"https://static.tigerbbs.com/443ce19704621c837795676028cec868"},"pubTimestamp":1623723494,"share":"https://ttm.financial/m/news/2143188731?lang=en_US&edition=fundamental","pubTime":"2021-06-15 10:18","market":"us","language":"en","title":"Oil rises as threat of immediate Iran supply recedes","url":"https://stock-news.laohu8.com/highlight/detail?id=2143188731","media":"Reuters","summary":"TOKYO, June 15 (Reuters) - Oil prices rose on Tuesday, with Brent gaining for a fourth consecutive s","content":"<p>TOKYO, June 15 (Reuters) - Oil prices rose on Tuesday, with Brent gaining for a fourth consecutive session, as the prospect of extra supply coming to the market soon from Iran faded with talks dragging on over the United States rejoining a nuclear agreement with Tehran.</p>\n<p>Brent crude was up by 43 cents, or 0.6%, at $73.29 a barrel by 0134 GMT, having risen 0.2% on Monday. U.S. oil gained 41 cents, or 0.6%, to $71.29 a barrel, having slipped 3 cents in the previous session.</p>\n<p>Indirect discussions between the United States and Iran, along with other parties to the 2015 deal on Tehran's nuclear programme, resumed on Saturday in Vienna and were described as \"intense\" by the European Union.</p>\n<p>A U.S. return to the deal would pave the way for the lifting of sanctions on Iran that would allow the OPEC member to resume exports of crude.</p>\n<p>It is \"looking increasingly unlikely that we will see the U.S. rejoin the Iranian nuclear deal before the Iranian Presidential Elections later this week,\" ING Economics said in a note.</p>\n<p>Other members of the Organization of Petroleum Exporting Countries (OPEC) along with major producers including Russia - a group known as OPEC+ - have been withholding output to support prices amid the pandemic.</p>\n<p>\"Additional supply from OPEC+ will be needed over the second half of this year, with demand expected to continue its recovery,\" ING said.</p>\n<p>To meet rising demand, U.S. drillers are also increasing output.</p>\n<p>U.S. crude production from seven major shale formations is forecast to rise by about 38,000 barrels per day (bpd) in July to around 7.8 million bpd, the highest since November, the U.S. Energy Information Administration said in its monthly outlook.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Oil rises as threat of immediate Iran supply recedes</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nOil rises as threat of immediate Iran supply recedes\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1036604489\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/443ce19704621c837795676028cec868);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2021-06-15 10:18</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>TOKYO, June 15 (Reuters) - Oil prices rose on Tuesday, with Brent gaining for a fourth consecutive session, as the prospect of extra supply coming to the market soon from Iran faded with talks dragging on over the United States rejoining a nuclear agreement with Tehran.</p>\n<p>Brent crude was up by 43 cents, or 0.6%, at $73.29 a barrel by 0134 GMT, having risen 0.2% on Monday. U.S. oil gained 41 cents, or 0.6%, to $71.29 a barrel, having slipped 3 cents in the previous session.</p>\n<p>Indirect discussions between the United States and Iran, along with other parties to the 2015 deal on Tehran's nuclear programme, resumed on Saturday in Vienna and were described as \"intense\" by the European Union.</p>\n<p>A U.S. return to the deal would pave the way for the lifting of sanctions on Iran that would allow the OPEC member to resume exports of crude.</p>\n<p>It is \"looking increasingly unlikely that we will see the U.S. rejoin the Iranian nuclear deal before the Iranian Presidential Elections later this week,\" ING Economics said in a note.</p>\n<p>Other members of the Organization of Petroleum Exporting Countries (OPEC) along with major producers including Russia - a group known as OPEC+ - have been withholding output to support prices amid the pandemic.</p>\n<p>\"Additional supply from OPEC+ will be needed over the second half of this year, with demand expected to continue its recovery,\" ING said.</p>\n<p>To meet rising demand, U.S. drillers are also increasing output.</p>\n<p>U.S. crude production from seven major shale formations is forecast to rise by about 38,000 barrels per day (bpd) in July to around 7.8 million bpd, the highest since November, the U.S. Energy Information Administration said in its monthly outlook.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"DWT":"三倍做空原油ETN","DDG":"ProShares做空石油与天然气ETF","DUG":"二倍做空石油与天然气ETF(ProShares)","USO":"美国原油ETF","UCO":"二倍做多彭博原油ETF","SCO":"二倍做空彭博原油指数ETF"},"is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2143188731","content_text":"TOKYO, June 15 (Reuters) - Oil prices rose on Tuesday, with Brent gaining for a fourth consecutive session, as the prospect of extra supply coming to the market soon from Iran faded with talks dragging on over the United States rejoining a nuclear agreement with Tehran.\nBrent crude was up by 43 cents, or 0.6%, at $73.29 a barrel by 0134 GMT, having risen 0.2% on Monday. U.S. oil gained 41 cents, or 0.6%, to $71.29 a barrel, having slipped 3 cents in the previous session.\nIndirect discussions between the United States and Iran, along with other parties to the 2015 deal on Tehran's nuclear programme, resumed on Saturday in Vienna and were described as \"intense\" by the European Union.\nA U.S. return to the deal would pave the way for the lifting of sanctions on Iran that would allow the OPEC member to resume exports of crude.\nIt is \"looking increasingly unlikely that we will see the U.S. rejoin the Iranian nuclear deal before the Iranian Presidential Elections later this week,\" ING Economics said in a note.\nOther members of the Organization of Petroleum Exporting Countries (OPEC) along with major producers including Russia - a group known as OPEC+ - have been withholding output to support prices amid the pandemic.\n\"Additional supply from OPEC+ will be needed over the second half of this year, with demand expected to continue its recovery,\" ING said.\nTo meet rising demand, U.S. drillers are also increasing output.\nU.S. crude production from seven major shale formations is forecast to rise by about 38,000 barrels per day (bpd) in July to around 7.8 million bpd, the highest since November, the U.S. Energy Information Administration said in its monthly outlook.","news_type":1,"symbols_score_info":{"DDG":0.9,"QMmain":0.9,"CLmain":0.9,"DWT":0.9,"SCO":0.9,"USO":0.9,"DUG":0.9,"BZmain":0.9,"UCO":0.9}},"isVote":1,"tweetType":1,"viewCount":2684,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187988663,"gmtCreate":1623734767452,"gmtModify":1704209954796,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"nice","listText":"nice","text":"nice","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187988663","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":2440,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187988860,"gmtCreate":1623734753650,"gmtModify":1704209954473,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"That’s&nbsp;","listText":"That’s&nbsp;","text":"That’s","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187988860","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":809,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187989311,"gmtCreate":1623734601833,"gmtModify":1704209951381,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"Yes agreed&nbsp;","listText":"Yes agreed&nbsp;","text":"Yes agreed","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187989311","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":854,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187915962,"gmtCreate":1623734413256,"gmtModify":1704209943393,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"Very interesting","listText":"Very interesting","text":"Very interesting","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187915962","repostId":"1138219989","repostType":4,"repost":{"id":"1138219989","kind":"news","pubTimestamp":1623650085,"share":"https://ttm.financial/m/news/1138219989?lang=en_US&edition=fundamental","pubTime":"2021-06-14 13:54","market":"us","language":"en","title":"What to Expect in This Week’s Federal Reserve Meeting","url":"https://stock-news.laohu8.com/highlight/detail?id=1138219989","media":"Barrons","summary":"As the Federal Open Market Committee holds its regular policy meeting this coming week, once again a","content":"<p>As the Federal Open Market Committee holds its regular policy meeting this coming week, once again analysts and investors should flip the Nixon-era cliché and watch what they say, not what they do. What everybody wants to know is whether the panel finally has gotten around to talking about talking about moving away from its ubereasy monetary policy.</p>\n<p>We all know that the FOMC won’t take any substantive steps in terms of its massive securities purchases, which are still running at $120 billion a month. As for its key federal-funds rate target, that’s stuck at 0% to 0.25% (although there’s an outside chance of technical tweaking of some other Fed-administered rates to address the billions in excess cash sloshing around in the money markets).</p>\n<p>We’ll be looking for what’s in the FOMC’s formal policy statement and the panel’s updated Summary of Economic Projections, which will include the amalgam of the committee members’ guesses on key economic gauges, such as gross domestic product, inflation, and unemployment. Most likely, when that is posted&nbsp;on the Fed’s website&nbsp;at 2 p.m. Eastern Daylight Time on Wednesday, most folks will probably head straight for the FOMC’s guesses on the fed-funds rate, and specifically when liftoff from near-zero is finally expected.</p>\n<p>The “dot plot”—or graph of the FOMC members’ consensus guesses—puts the first hike all the way out past 2023. That seems a very long-term forecast, and as John Maynard Keynes famously pointed out, in the long run we’re all dead. Some Fed watchers, such as J.P. Morgan’s chief U.S. economist, Michael Feroli, look for the dots to show a 2023 liftoff.</p>\n<p>The markets, however, already had been pricing in one or more fed-funds rate hikes by 2023. But concurrent with the previously discussed slide in longer-term bond yields, the interest-rate futures markets have effectively priced out one of those short-term rate increases. In addition, the derivatives market now sees the fed-funds rate peaking under 2%, some 0.4 of a percentage point lower than what it had priced in earlier this year, according to analysts for&nbsp;Natixis.</p>\n<p>Long before making any rate hikes, the Fed will begin to lessen its accommodation by slowing its current pace of securities purchases, which consist of $80 billion of Treasuries and $40 billion of agency mortgage-backed securities every month. The trillions that the Federal Reserve and other central banks have created have gone a long way to boost the values of assets, which rose by $5 trillion, to $136.9 trillion, in the first quarter, according to new Fed data released this past week. That includes a $3.2 trillion rise in the value of equities owned by households and a $968 billion rise in their real estate holdings.</p>\n<p>The key criterion for reduced Fed accommodation is whether the monetary authorities see “substantial further progress” toward reaching what they deem as maximum employment, probably a deliberately ambiguous standard.</p>\n<p>But the increase in payrolls appears to be constrained as much by the supply of labor as businesses’ desire to hire. The latest Job Openings and Labor Turnover Survey, or Jolts, showed&nbsp;a record 9.3 million unfilled openings&nbsp;in April. In addition, 384,000 people left their positions that month, bringing the total of voluntary job quitters to a record four million.</p>\n<p>Anecdotal evidence, including some in the Fed’s beige book summary of economic conditions prepared for the coming meeting, suggests that employers aren’t finding enough workers because of generous unemployment compensation. Unusual for a social science such as economics, there will be a real-time experiment to test this hypothesis as 25 states end the extra $300 weekly payment early.</p>\n<p>Jefferies economists Aneta Markowska and Thomas Simons write in a research note that these 25 states account for about a quarter of all the unemployed workers. Ending their extra jobless benefits could boost employment by roughly two million in the next few months, they estimate. Another growth spurt should follow in September and October after the extra unemployment insurance expires in the remaining states; schools reopen—providing free daycare for some would-be workers, especially women; and many office employees return to their desks, they add.</p>\n<p>At that point, the Fed might start talking about actually reducing its massive securities purchases. Given the “taper tantrum” thrown by the markets when the central bank slowed its bond buying in 2013, this Fed will want to disclose how, when, and how fast it plans to slow its pour into the punch bowl. That’s what we’ll be listening for this week.</p>","source":"lsy1601382232898","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>What to Expect in This Week’s Federal Reserve Meeting</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nWhat to Expect in This Week’s Federal Reserve Meeting\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-14 13:54 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.barrons.com/articles/what-to-expect-in-next-weeks-federal-reserve-meeting-51623457837?mod=RTA><strong>Barrons</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>As the Federal Open Market Committee holds its regular policy meeting this coming week, once again analysts and investors should flip the Nixon-era cliché and watch what they say, not what they do. ...</p>\n\n<a href=\"https://www.barrons.com/articles/what-to-expect-in-next-weeks-federal-reserve-meeting-51623457837?mod=RTA\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{".IXIC":"NASDAQ Composite",".SPX":"S&P 500 Index",".DJI":"道琼斯"},"source_url":"https://www.barrons.com/articles/what-to-expect-in-next-weeks-federal-reserve-meeting-51623457837?mod=RTA","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1138219989","content_text":"As the Federal Open Market Committee holds its regular policy meeting this coming week, once again analysts and investors should flip the Nixon-era cliché and watch what they say, not what they do. What everybody wants to know is whether the panel finally has gotten around to talking about talking about moving away from its ubereasy monetary policy.\nWe all know that the FOMC won’t take any substantive steps in terms of its massive securities purchases, which are still running at $120 billion a month. As for its key federal-funds rate target, that’s stuck at 0% to 0.25% (although there’s an outside chance of technical tweaking of some other Fed-administered rates to address the billions in excess cash sloshing around in the money markets).\nWe’ll be looking for what’s in the FOMC’s formal policy statement and the panel’s updated Summary of Economic Projections, which will include the amalgam of the committee members’ guesses on key economic gauges, such as gross domestic product, inflation, and unemployment. Most likely, when that is posted on the Fed’s website at 2 p.m. Eastern Daylight Time on Wednesday, most folks will probably head straight for the FOMC’s guesses on the fed-funds rate, and specifically when liftoff from near-zero is finally expected.\nThe “dot plot”—or graph of the FOMC members’ consensus guesses—puts the first hike all the way out past 2023. That seems a very long-term forecast, and as John Maynard Keynes famously pointed out, in the long run we’re all dead. Some Fed watchers, such as J.P. Morgan’s chief U.S. economist, Michael Feroli, look for the dots to show a 2023 liftoff.\nThe markets, however, already had been pricing in one or more fed-funds rate hikes by 2023. But concurrent with the previously discussed slide in longer-term bond yields, the interest-rate futures markets have effectively priced out one of those short-term rate increases. In addition, the derivatives market now sees the fed-funds rate peaking under 2%, some 0.4 of a percentage point lower than what it had priced in earlier this year, according to analysts for Natixis.\nLong before making any rate hikes, the Fed will begin to lessen its accommodation by slowing its current pace of securities purchases, which consist of $80 billion of Treasuries and $40 billion of agency mortgage-backed securities every month. The trillions that the Federal Reserve and other central banks have created have gone a long way to boost the values of assets, which rose by $5 trillion, to $136.9 trillion, in the first quarter, according to new Fed data released this past week. That includes a $3.2 trillion rise in the value of equities owned by households and a $968 billion rise in their real estate holdings.\nThe key criterion for reduced Fed accommodation is whether the monetary authorities see “substantial further progress” toward reaching what they deem as maximum employment, probably a deliberately ambiguous standard.\nBut the increase in payrolls appears to be constrained as much by the supply of labor as businesses’ desire to hire. The latest Job Openings and Labor Turnover Survey, or Jolts, showed a record 9.3 million unfilled openings in April. In addition, 384,000 people left their positions that month, bringing the total of voluntary job quitters to a record four million.\nAnecdotal evidence, including some in the Fed’s beige book summary of economic conditions prepared for the coming meeting, suggests that employers aren’t finding enough workers because of generous unemployment compensation. Unusual for a social science such as economics, there will be a real-time experiment to test this hypothesis as 25 states end the extra $300 weekly payment early.\nJefferies economists Aneta Markowska and Thomas Simons write in a research note that these 25 states account for about a quarter of all the unemployed workers. Ending their extra jobless benefits could boost employment by roughly two million in the next few months, they estimate. Another growth spurt should follow in September and October after the extra unemployment insurance expires in the remaining states; schools reopen—providing free daycare for some would-be workers, especially women; and many office employees return to their desks, they add.\nAt that point, the Fed might start talking about actually reducing its massive securities purchases. Given the “taper tantrum” thrown by the markets when the central bank slowed its bond buying in 2013, this Fed will want to disclose how, when, and how fast it plans to slow its pour into the punch bowl. That’s what we’ll be listening for this week.","news_type":1,"symbols_score_info":{".DJI":0.9,".IXIC":0.9,".SPX":0.9}},"isVote":1,"tweetType":1,"viewCount":884,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187913871,"gmtCreate":1623734228493,"gmtModify":1704209936688,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"sounds good!","listText":"sounds good!","text":"sounds good!","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/187913871","repostId":"2143178756","repostType":4,"isVote":1,"tweetType":1,"viewCount":1138,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"hots":[{"id":187969662,"gmtCreate":1623735025056,"gmtModify":1704209963756,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":2,"repostSize":0,"link":"https://ttm.financial/post/187969662","repostId":"2143178756","repostType":4,"isVote":1,"tweetType":1,"viewCount":2791,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187913871,"gmtCreate":1623734228493,"gmtModify":1704209936688,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"sounds good!","listText":"sounds good!","text":"sounds good!","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/187913871","repostId":"2143178756","repostType":4,"isVote":1,"tweetType":1,"viewCount":1138,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187969325,"gmtCreate":1623735012267,"gmtModify":1704209963269,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"ok","listText":"ok","text":"ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187969325","repostId":"1186361842","repostType":4,"isVote":1,"tweetType":1,"viewCount":2257,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187988663,"gmtCreate":1623734767452,"gmtModify":1704209954796,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"nice","listText":"nice","text":"nice","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187988663","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":2440,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187988860,"gmtCreate":1623734753650,"gmtModify":1704209954473,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"That’s&nbsp;","listText":"That’s&nbsp;","text":"That’s","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187988860","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":809,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187989311,"gmtCreate":1623734601833,"gmtModify":1704209951381,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"Yes agreed&nbsp;","listText":"Yes agreed&nbsp;","text":"Yes agreed","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187989311","repostId":"1164323104","repostType":4,"repost":{"id":"1164323104","kind":"news","pubTimestamp":1623726988,"share":"https://ttm.financial/m/news/1164323104?lang=en_US&edition=fundamental","pubTime":"2021-06-15 11:16","market":"us","language":"en","title":"ARK: Cathie Wood And The Exquisite Art Of Tail Gunning","url":"https://stock-news.laohu8.com/highlight/detail?id=1164323104","media":"seekingalpha","summary":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are ","content":"<p><b>Summary</b></p>\n<ul>\n <li>ARK Active ETFs are worth the management fee.</li>\n <li>Structured Lookback is introduced.</li>\n <li>Tails are shown to have a logical structure and consistent patterns.</li>\n <li>The concepts of Simultaneity and Sequentiality are introduced.</li>\n <li>CO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.</li>\n</ul>\n<p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b1271b2416859ceba7776d3cb65f490c\" tg-width=\"768\" tg-height=\"512\"><span>phongphan5922/iStock via Getty Images</span></p>\n<p><b>The Legend of Cathie Wood and Ark Active</b></p>\n<blockquote>\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n</blockquote>\n<blockquote>\n <b>Kill Bill Vol 2 - The Cruel Tutelage of Pai Mei</b>\n</blockquote>\n<p>There is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.</p>\n<p>Ark Active ETFs weren't really on my radar until after&nbsp;Trading Edge&nbsp;was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.</p>\n<p>Another reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.</p>\n<p>Some commentators have mentioned recent negative return issues with&nbsp;ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.</p>\n<p><b>Tail Gunning</b></p>\n<p><b>Tail</b>&nbsp;is a statistical term related to&nbsp;<b>data distribution</b>. When data points are plotted, a&nbsp;<b>bell shaped curve</b>&nbsp;forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce a<b>normal distribution</b>, stock returns do not.</p>\n<p>This implies that&nbsp;<b>probabilities</b>&nbsp;based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate&nbsp;<b>risk</b>.</p>\n<p>In this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term&nbsp;<b>tail gunning</b>. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.</p>\n<p>ARK Active has been quite good over many years at staying on the wild side.</p>\n<p><b>The Legend of Data Manipulation</b></p>\n<p>Modern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.</p>\n<p>The revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.</p>\n<p>A trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.</p>\n<p>Major weaknesses in the academic understanding of stuff in general include:</p>\n<ul>\n <li>Time</li>\n <li>High dimensionality</li>\n</ul>\n<p>Volatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.</p>\n<p>In this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.</p>\n<p><b>Price History Data</b></p>\n<p><img src=\"https://static.tigerbbs.com/d90c98591d40fa964b5d072099898d37\" tg-width=\"466\" tg-height=\"296\" referrerpolicy=\"no-referrer\"></p>\n<p>The analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.</p>\n<p>Looking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.</p>\n<p>A mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.</p>\n<p>Databases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.</p>\n<p>It is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.</p>\n<p><b>Data Transformation - Natural Log Returns</b></p>\n<p><img src=\"https://static.tigerbbs.com/fe2b70f7a667237e2fde7818ec22248f\" tg-width=\"515\" tg-height=\"239\" referrerpolicy=\"no-referrer\"></p>\n<p>The per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.</p>\n<p>The human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.</p>\n<p>Natural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.</p>\n<p>The simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.</p>\n<p>Using 3/16 in the table above as an example:</p>\n<ul>\n <li><b>CC</b>(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.</li>\n <li><b>CO</b>(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.</li>\n <li><b>OC</b>(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.</li>\n</ul>\n<p>The bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.</p>\n<p>I specialize in low level stuff. For example, with the binary codes:</p>\n<ul>\n <li>If bCO = 1 and bOC = 1 Then bCC = 1</li>\n <li>If bCO = 0 and bOC = 0 Then bCC = 0</li>\n <li>otherwise, you have to check bCC.</li>\n</ul>\n<p>Probably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.</p>\n<p><b>1,400-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/6a9152d4c32880ea9b67cfcfba92a528\" tg-width=\"640\" tg-height=\"451\" referrerpolicy=\"no-referrer\"><img src=\"https://static.tigerbbs.com/816a4f84749432ed63cad49e9629fea1\" tg-width=\"640\" tg-height=\"440\" referrerpolicy=\"no-referrer\"><b>CC1400 = CO1400 + OC1400</b></p>\n<p><b>$CC1400 = $CO1400 * $OC1400</b></p>\n<p>In my&nbsp;Trading Edge article, CC1400 was called tCC.</p>\n<p><b>CO/OC Imbalance</b></p>\n<p>The CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.</p>\n<p>Trading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.</p>\n<p><b>Structured Lookback Design</b></p>\n<p><img src=\"https://static.tigerbbs.com/3619120948d5766322b4336d698d190f\" tg-width=\"428\" tg-height=\"275\" referrerpolicy=\"no-referrer\"></p>\n<p>I introduced date yrmolation as a concept in my&nbsp;Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.</p>\n<p>The day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.</p>\n<p>Every total time frame of&nbsp;<b>n days</b>, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:</p>\n<ul>\n <li>x[1] = 200</li>\n <li>x[2] = x[1] * 2 = 400</li>\n <li>x[3] = x[1] * 4 = 800</li>\n <li>x[0] = Total days = 200 + 400 + 800 = 1400</li>\n</ul>\n<p>Another time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.</p>\n<p><b>xSig logic.</b>There are three hex codes after the x. The bit values go:</p>\n<ul>\n <li>8 = xx1400</li>\n <li>4 = xx200</li>\n <li>2 = xx400</li>\n <li>1 = xx800</li>\n</ul>\n<p>xFF2 appears most often in the table. This means:</p>\n<ul>\n <li>First/F - All structured CC periods have positive returns.</li>\n <li>Second/F - All Structured CO periods have positive returns.</li>\n <li>Third/2 - All OC periods except OC400 have losses.</li>\n</ul>\n<p><b>Win Rate</b></p>\n<p>This is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.</p>\n<p><b>400-Day Segment Detail</b></p>\n<p><img src=\"https://static.tigerbbs.com/7299f454e25cd1b7c76e9270ba0d7555\" tg-width=\"640\" tg-height=\"318\" referrerpolicy=\"no-referrer\"></p>\n<p>The 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.</p>\n<p><b>ARKG</b></p>\n<p>ARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.</p>\n<p><b>Performance Graphs</b></p>\n<blockquote>\n <img src=\"https://static.tigerbbs.com/62164faed041f049e43de95eae97d7f8\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">Sam: I never walk into a place I don't know how to walk out of.\n</blockquote>\n<blockquote>\n <b>Ronin</b>\n</blockquote>\n<p>I can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.</p>\n<p>After detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.</p>\n<p>I was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.</p>\n<p><b>Finding Biotech Tail</b></p>\n<p>Virtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.</p>\n<p>Biotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.</p>\n<p>Biotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.</p>\n<p>81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:</p>\n<p><b>Top Biotech CC</b><img src=\"https://static.tigerbbs.com/d841bf3f146ef20a3b33e5907560506f\" tg-width=\"640\" tg-height=\"398\" referrerpolicy=\"no-referrer\"><b>Top BioTech CO</b><img src=\"https://static.tigerbbs.com/75d42024dd22967d2389f0bff6f5051b\" tg-width=\"640\" tg-height=\"359\" referrerpolicy=\"no-referrer\"><b>Top Biotech OC and Median</b></p>\n<p><img src=\"https://static.tigerbbs.com/71d670bb51438ece3d1e0ea1af330418\" tg-width=\"640\" tg-height=\"339\" referrerpolicy=\"no-referrer\"></p>\n<p>These are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.</p>\n<p><b>CO/OC or Standard Deviation</b></p>\n<p>The tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.</p>\n<p>Standard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.</p>\n<p><b>Recent Action</b></p>\n<p>CO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.</p>\n<p><b>252-Day Structured Lookback</b></p>\n<p><img src=\"https://static.tigerbbs.com/8d0b19158fd2c03a403a0b4e050337e5\" tg-width=\"640\" tg-height=\"277\" referrerpolicy=\"no-referrer\"></p>\n<p>I'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.</p>\n<p>xSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.</p>\n<p><img src=\"https://static.tigerbbs.com/56d55c932d2bf44bdbc6453973b0deca\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>I guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.</p>\n<p><img src=\"https://static.tigerbbs.com/8545852036c8982dbfe9b43f7a5cbadb\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>Win rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.</p>\n<p><img src=\"https://static.tigerbbs.com/b8a78565860d28888443a05446a954fc\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.</p>\n<p><img src=\"https://static.tigerbbs.com/05104399c4fdd23a584cf50f2b0c17f1\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.</p>\n<p><img src=\"https://static.tigerbbs.com/6ae737de17a78652910a1d3026bcb38c\" tg-width=\"640\" tg-height=\"259\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.</p>\n<p><img src=\"https://static.tigerbbs.com/149ae96de3fe3e9bae8c62f9d00080d3\" tg-width=\"640\" tg-height=\"432\" referrerpolicy=\"no-referrer\"></p>\n<p><img src=\"https://static.tigerbbs.com/0dcc46d54a59d3ac1078bb04cdefaac4\" tg-width=\"640\" tg-height=\"282\" referrerpolicy=\"no-referrer\"></p>\n<p>The recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.</p>\n<p>The plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.</p>\n<p>Is The 252-Day Structured Lookback Kosher?</p>\n<p>252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.</p>\n<p>With<b>Gematria</b>, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to the<b>TzadikimNistarim</b>, the 36 hidden righteous ones who support the world in every generation.</p>\n<p>Somehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.</p>\n<p>Simultaneity and Sequentiality</p>\n<blockquote>\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n</blockquote>\n<blockquote>\n <b>The Bourne Legacy</b>\n</blockquote>\n<p>Earlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.</p>\n<p><img src=\"https://static.tigerbbs.com/6c17ed7424c6e637ad896c0fbaed4baf\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The ARK Ferraris are included with the lawn mowers.</p>\n<p>XBI and IBB are weird with their different returns, which is not easily exploitable.</p>\n<p>Buy The Dip Or Pop - CCn1 or CCp1<img src=\"https://static.tigerbbs.com/6ca6dcb7e38682509246a811e20b4b50\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">The Specter Clock</p>\n<p>CCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.</p>\n<p>This happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.</p>\n<p><b>CCp1</b></p>\n<p><img src=\"https://static.tigerbbs.com/7c139fe7edf8287f22fb4902d489ee01\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">CC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.</p>\n<p>These might be good examples of sequentiality, or not.</p>\n<p>SPY is Positive or Negative CO Today - COp0 or COn0</p>\n<p><img src=\"https://static.tigerbbs.com/2e4b10f70d9011fe586ed6d10f3dff28\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>This is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.</p>\n<p>Simultaneity has weakened during the last segment and probably a little before that as well.</p>\n<p><img src=\"https://static.tigerbbs.com/49fd6dcb993413dabcf4039ed0937c37\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">There definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.</p>\n<p><b>COn0</b></p>\n<p><img src=\"https://static.tigerbbs.com/a1da4b68139194cb3c20cbdddbfcddd5\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\">This shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.</p>\n<p><img src=\"https://static.tigerbbs.com/14ca38d49389a36c6f2b1c69036409fa\" tg-width=\"640\" tg-height=\"469\" referrerpolicy=\"no-referrer\"></p>\n<p>The 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.</p>\n<p>Essentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.</p>\n<p>I doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ARK: Cathie Wood And The Exquisite Art Of Tail Gunning</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nARK: Cathie Wood And The Exquisite Art Of Tail Gunning\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 11:16 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"ARKR":"Ark Restaurants Corp","ARKF":"ARK Fintech Innovation ETF","ARKQ":"ARK Autonomous Technology & Robotics ETF","ARKG":"ARK Genomic Revolution ETF","ARKO":"ARKO Corp","ARKK":"ARK Innovation ETF"},"source_url":"https://seekingalpha.com/article/4434708-ark-cathie-wood-and-tail-gunning","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1164323104","content_text":"Summary\n\nARK Active ETFs are worth the management fee.\nStructured Lookback is introduced.\nTails are shown to have a logical structure and consistent patterns.\nThe concepts of Simultaneity and Sequentiality are introduced.\nCO/OC directional differences are important indicators that are much more useful than two-dimensional measures like standard deviation.\n\nphongphan5922/iStock via Getty Images\nThe Legend of Cathie Wood and Ark Active\n\n Beatrix Kiddo: I am proficient in Tiger Crane style and more than proficient in the exquisite art of the samurai sword.\n\n\nKill Bill Vol 2 - The Cruel Tutelage of Pai Mei\n\nThere is no question that Cathie Wood will be elected to the Stock Picker Hall of Fame on the first year of eligibility. The last person achieving that honor was Peter Lynch.\nArk Active ETFs weren't really on my radar until after Trading Edge was published on June 1. At some point, I planned to make that article more about equity groups instead of ETFs, specifically biotech. Eventually the plan changed because that seemed premature.\nAnother reason for my lack of attention is that I usually look for issues with at least 1500 days of price history and the four horsemen of Ark Active passed that milestone less than 200 trade days ago.\nSome commentators have mentioned recent negative return issues with ARKG, noting that the natives are getting restless. The first argument has some merit and touches on technical details that will affect the entire market. But, call me a romantic, I'm OK with cutting ARK a little slack here.\nTail Gunning\nTail is a statistical term related to data distribution. When data points are plotted, a bell shaped curve forms and the unusual results on either side of the curve are the tails. If the distribution is consistent with the ideal bell pattern, it is considered normal. Results of many coin flips produce anormal distribution, stock returns do not.\nThis implies that probabilities based on normal distributions are accurate while non-normal distribution probabilities are not. This is a serious problem for the academic discipline of Finance as not understanding probabilities suggests that it cannot offer a practical methodology to mitigate risk.\nIn this article, I will try to show that Ark Active returns are highly dependent on exploiting extreme tail activity. Hence the term tail gunning. Surprisingly, tail activity is more structured than one might initially think, so this may have some theoretical importance.\nARK Active has been quite good over many years at staying on the wild side.\nThe Legend of Data Manipulation\nModern stock exchanges and casinos both appeared in the first part of the 17th century, not long after the modern rules of chess were established. Academic disciplines relevant to understanding these innovations such as calculus, linear algebra, statistics, quantum mechanics etc. slowly developed over the next 400 years.\nThe revolutionary implications of data science have not yet been fully appreciated. Practical skill in data manipulation more than compensates for lack of formal academic knowledge in any of the other disciplines. A goal of my work is to demonstrate the soundness of this view.\nA trained practitioner of statistical finance won't approach the stock return problem through data manipulation. No doubt, data manipulation is my hammer, so everything else looks like a nail.\nMajor weaknesses in the academic understanding of stuff in general include:\n\nTime\nHigh dimensionality\n\nVolatility is a function of time, claims by some financial sages that they understand volatility are prima facie absurd. Academic deficiencies can be exploited by competent users of computer power.\nIn this article, I'll discuss how to set up and analyze market data, with attention given to the superb performance of the ARK Active ETFs.\nPrice History Data\n\nThe analysis presented here, only considers the date, open and close. Financial statisticians generally consider daily open, high, and low numbers to be noise. Essentially, that is an admission of the limitations of their analytical framework.\nLooking at one stock at a time is wrong on many different levels. It is absolutely critical to examine groups of stocks.\nA mechanism is needed to produce historical daily prices for many different stocks. Prices must be adjusted for dividends and splits. The data should be stored in Excel csv workbooks where the workbook and worksheet names are the stock symbol.\nDatabases are inappropriate for historical price analysis. Rebuilding the data at least daily from scratch is quick and eliminates many possible points of failure.\nIt is best to solve the data problem by paying for a reliable delivery method like Norgate. Everyone who does this type of work, initially spends a lot of time figuring out how to get prices for free. I did that for about 15 years. It is good to build up the skill and understanding, but eventually the cost of inefficient use of time is substantial.\nData Transformation - Natural Log Returns\n\nThe per share price of a stock has absolutely no rational analytical relevance, assuming the investor has at least enough money to buy one share.\nThe human mind can deal with a limited number of things at once, and with stock groups, price is too much detail. Data transformation is a methodology to remove that complexity. Here, daily prices are transformed to a return stream. That makes it easy to analyze even large groups of equities.\nNatural logs are the correct way to store a return stream, unless you are in a contest to find an inferior solution.\nThe simple calculations below need to be done for each date for each stock in the group being analyzed. It only takes a few minutes on an 8th generation i7 Windows PC to do this for hundreds of stocks containing thousands of days of price history.\nUsing 3/16 in the table above as an example:\n\nCC(Close to Close) = natural log of 3/16 Close / 3/15 Close = nl(394.62/395.12) = -0.0013.\nCO(Close to Open) = natural log of 3/16 Open / 3/15 Close = nl(395.77/395.12) = 0.0017.\nOC(Open to Close) = natural log of 3/16 Close / 3/16 Open = nl(394.62/395.77) = -0.0029.\n\nThe bCC/bCO/bOC columns are binary answers to the question of whether the excursion was positive (1 = positive 0 = not positive). It is quite useful to answer questions before they are asked. This same technique is used to encode strategies into a return stream.\nI specialize in low level stuff. For example, with the binary codes:\n\nIf bCO = 1 and bOC = 1 Then bCC = 1\nIf bCO = 0 and bOC = 0 Then bCC = 0\notherwise, you have to check bCC.\n\nProbably, most people wouldn't spend months analyzing the implications of that. I'm making good progress but still not finished. xSig, discussed below is related to that analysis. The issue is that if bCC = 4, bCO = 2, and bOC = 1 to create an Octal number; 3 and 4 can't happen.\n1,400-Day Structured Lookback\nCC1400 = CO1400 + OC1400\n$CC1400 = $CO1400 * $OC1400\nIn my Trading Edge article, CC1400 was called tCC.\nCO/OC Imbalance\nThe CO state is clearly dominant over OC. Trading Edge even suggested this may be a permanent market feature. It is somewhat heretical to even whisper of such things. If someone refutes that, I promise not to get mad.\nTrading Edge considered the 3x Bulls to be the most obvious way to exploit the CO edge. ARK Active smokes the leveraged financially engineered abominations.\nStructured Lookback Design\n\nI introduced date yrmolation as a concept in my Kabbalah articlein January. Perhaps structured lookback is a better term, if only because it has more vowels. The idea is to provide a logical methodology for creating segments of sequential time.\nThe day is the standard market unit of time. The traditional day/week/month/year construct does not get us closer to a suitable lookback solution, and mostly just confuses the issue. Generally, one doesn't solve a problem by adding needless complexity.\nEvery total time frame of n days, is broken into 3 consecutive periods. The first period is 1/7 the total period, the second 2/7, and the third 4/7. I worked on this backwards of course, so:\n\nx[1] = 200\nx[2] = x[1] * 2 = 400\nx[3] = x[1] * 4 = 800\nx[0] = Total days = 200 + 400 + 800 = 1400\n\nAnother time concept is iteration. The study is labeled 200i0. i0 means iteration 0. An i1 study implies the 1400 days before 11/13/15.\nxSig logic.There are three hex codes after the x. The bit values go:\n\n8 = xx1400\n4 = xx200\n2 = xx400\n1 = xx800\n\nxFF2 appears most often in the table. This means:\n\nFirst/F - All structured CC periods have positive returns.\nSecond/F - All Structured CO periods have positive returns.\nThird/2 - All OC periods except OC400 have losses.\n\nWin Rate\nThis is another critically important metric that virtually nobody looks at. In the table, the differences between CO and OC win rates are stunning.\n400-Day Segment Detail\n\nThe 400-day segment showed the best numbers for OC so it is worth looking at. All four of the time segments display simultaneously on an HD monitor; the challenge writing about them is mostly how to cut up the information for the article format. The win percentages for OC are notably higher than those seen on the 1400 day study. ARKW performs respectably here, both CO and OC, but even in the best OC environment, with the most favorable ETF, CO is not worse.\nARKG\nARKG performs better CO than any of the 3x Bulls CC or CO. ARK win rates are all at least 62% CO, much better than the bulls. Win rates OC are much worse. Obviously, with the strategy of playing CO, ideally we want to see all positive returns during CO and all the negative returns during OC.\nPerformance Graphs\n\nSam: I never walk into a place I don't know how to walk out of.\n\n\nRonin\n\nI can see how the recent sharp excursion down to about the 38.2 fib line might freak out some of the CC players, especially those who bought near the top. Personally, I'm afraid of parabolic heights, so it is difficult for me to visualize the thought process of the players who were buying at triple digits. Guess that is why I'll never be rich.\nAfter detailed poring over the entrails and consulting entities whose names are best left unspoken, I think holding any of the ARK Active puppies CO is worth serious consideration.\nI was really impressed by ARK's stock selection results and watched a recent interview of Cathie, where she was confident of the funds performing at the historical pace. Needless to say, I've been curious if she knows about the CO/OC imbalance where a CO player could theoretically beat buy and hold by about a factor of 10.\nFinding Biotech Tail\nVirtually all Biotechs are part of the tail when considered with the stock universe, so all one needs is a list of suitable candidates.\nBiotech and Semiconductors are the two industries with the most favorable positive CO vs OC characteristics based on my research. Energy is also quite good, but I haven't looked at that sector closely. Small caps are also consistently favorable.\nBiotech is a bit more persistent and obvious. An ETF performs at some sort of median to the characteristics of the group it is composed of, but ETF numbers pretty much precisely reflect the characteristics of the entire group.\n81 biotech stocks with average daily volume greater than 300K, and current price greater than $10 were assembled. The top stocks in CC, CO, and OC will be shown below:\nTop Biotech CCTop BioTech COTop Biotech OC and Median\n\nThese are just overwhelming numbers arguing for CO. A random pick in this universe is much more likely to be profitable CO than anywhere else and that profit is much more likely to exceed CC. The win rates are lower than seen in most sectors. In general, this type of analysis is a fertile avenue for research.\nCO/OC or Standard Deviation\nThe tendency of stocks to move in opposite directions CO and OC can be measured as has been shown here. These movements appear to be quite persistent and consistent in direction over time. The investor gains important and usable information by studying these structures, as opposed to standard deviation.\nStandard deviation only measures CC and ignores violent movements during the day. A year is usually considered the proper standard deviation sample, mostly because any other length is equally worthless.\nRecent Action\nCO has not been a great performer lately. I've been noting that on my website since at least March I think. The more interesting thing is watching things unfold with a decent toolset and trying to figure out what is happening.\n252-Day Structured Lookback\n\nI'll stick with natural log results only in this pass. A natural log of 0.69 is doubling your money. 0.72 for ARKG is CV$1 2.06. All of the puppies at least tripled CO except for ARKW. Not bad for a year. Note the CO win rate.\nxSig is weaker than long term as xFF is no longer showing. As time ranges get longer, xFF gets more common.\n\nI guess the CC players got annoyed that things were better at this end point than 6/11/21. CO win rates are about the best I've ever seen.\n\nWin rates seriously dropped from the 144 day segment. The Biotech correction started February 9th.\n\nThe ARKG pattern starts with a double top. LABU and XBI made a single top, with a nice dark cloud cover candle that worked out for a change. In some parallel universes, they always work.\n\nThe black candles show the day traders getting slapped. No big deal for CO players. I'm happy I wasn't playing these guys during this period; no question I would have botched things up.\n\nThe 36-day shows weakness coming into CO and a little strength in OC at least for ARKG. Note the two winning percentages are the same. This is less trivial than it appears as that situation also exists in the Biotechs.\n\n\nThe recent low at 72.87 was not only the important ludicrously long term 38.2 fib line but the 52 week moving average, and on the other side of the chasm there is obvious support around 72. I don't see how that can be arranged to spell sell. Note the pop we are seeing off the low is coming on OC strength.\nThe plain meaning of the weekly chart is bullish: Heat sensitive longs from the congestion period, put stops in below the 52 week SMA that were triggered during the week of May 10. That is shown by the head fake and bottoming tail. Even a retest of the low would probably not be too bad, but hopefully that won't part of the near term conversation. The poke above the 13-week SMA is encouraging, a move above 93 doesn't seem excessively optimistic.\nIs The 252-Day Structured Lookback Kosher?\n252 market days is as close to an exact calendar year as you can get. 252 / 7 = 36. Therefore we can say that a market year is divided into 7 periods of 36 days. In this scheme, every day is the end of a year.\nWithGematria, the number 36 is 2 * 18. 18 = Life. 36 is comprised of the letters Lamed Vav, which correspond to theTzadikimNistarim, the 36 hidden righteous ones who support the world in every generation.\nSomehow, that gives me a little confidence that the structured lookback solution isn't completely ridiculous. It is definitely kosher.\nSimultaneity and Sequentiality\n\n Adm Mark Turso USN Ret: You were given a Ferrari and your people treated it like a lawnmower.\n\n\nThe Bourne Legacy\n\nEarlier, I mentioned the binary codes bCC, bCO, and bOC. These probably have to be understood to understand the CO/OC imbalance. They are useful in understanding the forces of simultaneity and sequentiality which propel stock prices.\n\nThe ARK Ferraris are included with the lawn mowers.\nXBI and IBB are weird with their different returns, which is not easily exploitable.\nBuy The Dip Or Pop - CCn1 or CCp1The Specter Clock\nCCn1 means CC negative returns of the Specter stock from the previous day are analyzed. The Specter stock is SPY. The specter functions something like a clock and provides high dimensional order to the group.\nThis happened 105 times in the last 252 days - note end of top line. The bulk of CC profits occurred after this happened. The CC median win rate is 60 instead of 55. Note that this state accounts for more than 100% of OC profits.\nCCp1\nCC is usually positive of course and it was for 147 of the 252 days. It has been best to buy the pop CO and then get out OC.\nThese might be good examples of sequentiality, or not.\nSPY is Positive or Negative CO Today - COp0 or COn0\n\nThis is an example of simultaneity. If SPY is up OC 90% of the sector ETFs will go up.\nSimultaneity has weakened during the last segment and probably a little before that as well.\nThere definitely isn't the same kind of breadth as in the good old days. That seems at least mildly negative.\nCOn0\nThis shows that COn0 weakness in SPY is less of a factor than COp0. Note that if CO is negative, there are better chances for OC to be positive.\n\nThe 36-day view shows the sectors having consensus on SPY down moves rather than up moves lately. There has been no lack of buyers OC.\nEssentially, this type of analysis adds a concrete framework that shows a pretty subtle picture of market state. It confirms a vague feeling many have noticed that things are changing.\nI doubt that mechanical CO playing is ready for prime time just yet. Certainly the CC/CO binary results above need to be better understood. Mostly, I think the analytical framework presented here is quite powerful and worth continued development.","news_type":1,"symbols_score_info":{"ARKR":0.9,"ARKO":0.9,"ARKQ":0.9,"ARKK":0.9,"ARKF":0.9,"ARKG":0.9}},"isVote":1,"tweetType":1,"viewCount":854,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187963601,"gmtCreate":1623735086603,"gmtModify":1704209965377,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"ok","listText":"ok","text":"ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187963601","repostId":"1104367480","repostType":4,"isVote":1,"tweetType":1,"viewCount":2637,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187963372,"gmtCreate":1623735070096,"gmtModify":1704209965215,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"ok","listText":"ok","text":"ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187963372","repostId":"1147086744","repostType":4,"isVote":1,"tweetType":1,"viewCount":2250,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187969561,"gmtCreate":1623735041853,"gmtModify":1704209963919,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"agree","listText":"agree","text":"agree","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187969561","repostId":"1102470114","repostType":4,"isVote":1,"tweetType":1,"viewCount":2470,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":187982107,"gmtCreate":1623734816109,"gmtModify":1704209957251,"author":{"id":"3574930663525175","authorId":"3574930663525175","name":"Elasticfam","avatar":"https://static.tigerbbs.com/6067e4a7a59d51cf346ba6c9c7a3ff09","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3574930663525175","idStr":"3574930663525175"},"themes":[],"htmlText":"lol","listText":"lol","text":"lol","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/187982107","repostId":"1107804845","repostType":4,"repost":{"id":"1107804845","kind":"news","pubTimestamp":1623715305,"share":"https://ttm.financial/m/news/1107804845?lang=en_US&edition=fundamental","pubTime":"2021-06-15 08:01","market":"us","language":"en","title":"Meme Stock or Not, Analysts See Upside for Wendy’s Shares","url":"https://stock-news.laohu8.com/highlight/detail?id=1107804845","media":"Barrons","summary":"Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the","content":"<p>Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.</p>\n<p>Wendy’s stock (ticker: WEN) was up 1.5% to $24.50 on Monday. Shares soared to a close of $28.87 last Tuesday, but pulled back through the tail end of the week. In between, speculation swirled that the company was caught in a broader market fascination&nbsp;with meme stocks.</p>\n<p>Piper Sandler analyst Nicole Miller Regan wrote in a note on Sunday that she’s seeing increasing momentum for Wendy’s. The analyst estimates May same-store-sales growth in the mid teens, pointing to menu innovation efforts and its app and related loyalty program.</p>\n<p>“The company is continuing to drive awareness and usage of the new breakfast daypart, drive digital sales, and capture an increasing percentage of sales as consumer mobility rebounds via new product news and strong store-level operational execution,” the analyst wrote.</p>\n<p>The note did not reference meme stock speculation. Unlike more popular meme stocks&nbsp;GameStop(GME) and&nbsp;AMC Entertainment(AMC), Wendy’s does not have an excessive short interest. It also&nbsp;was solidly liked&nbsp;by Wall Street analysts. Of the 27 analysts listed by FactSet, 15 have Buy ratings.</p>\n<p>Some speculated that Wall Street pros tracking&nbsp;ticker mentions in Reddit threads&nbsp;may have been bamboozled by the phrase “Wen moon?” or “Wen rich?” which are winking references to the notion that Reddit users are “dumb money” wondering when their latest stock will take off,according to MarketWatch. “WEN” is also the ticker for Wendy’s.</p>\n<p>Regardless, the Piper Sandler analyst views the balance sheet and efforts to pay down debt and repurchase shares positively. She reiterated an Overweight rating and $27 price target, arguing the stock’s recent levels appear to be a decent entry point.</p>\n<p>“Over time, the company is positioned to leverage its technology and mobile ordering platforms (as a complement to mobile/grab-and-go and curbsidedelivery functions, as an example) while also working to deliver a series of increasingly personalized communications and offers to its growing base of guests within its recently launched loyalty program (which include 13 million total and 3 million active members as of the 1Q21 period),” she added.</p>\n<p>Also on Monday, Northcoast analyst Jim Sanderson upgraded the stock to Buy from Neutral with a $30 price target, according to Bloomberg.</p>\n<p>The mean analyst price target for Wendy’s is $26.15, according to FactSet. Meme or not, analysts still see upside.</p>","source":"lsy1601382232898","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Meme Stock or Not, Analysts See Upside for Wendy’s Shares</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nMeme Stock or Not, Analysts See Upside for Wendy’s Shares\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-06-15 08:01 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA><strong>Barrons</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.\nWendy’s stock (ticker: WEN) was up 1.5% to $24.50 ...</p>\n\n<a href=\"https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"WEN":"温蒂汉堡"},"source_url":"https://www.barrons.com/articles/meme-stock-or-not-analysts-see-upside-for-wendys-shares-51623690202?mod=RTA","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1107804845","content_text":"Wendy’s stock rode a wave of meme stock volatility last week. Now analysts are making a case for the stock—one that doesn’t involve Reddit comments.\nWendy’s stock (ticker: WEN) was up 1.5% to $24.50 on Monday. Shares soared to a close of $28.87 last Tuesday, but pulled back through the tail end of the week. In between, speculation swirled that the company was caught in a broader market fascination with meme stocks.\nPiper Sandler analyst Nicole Miller Regan wrote in a note on Sunday that she’s seeing increasing momentum for Wendy’s. The analyst estimates May same-store-sales growth in the mid teens, pointing to menu innovation efforts and its app and related loyalty program.\n“The company is continuing to drive awareness and usage of the new breakfast daypart, drive digital sales, and capture an increasing percentage of sales as consumer mobility rebounds via new product news and strong store-level operational execution,” the analyst wrote.\nThe note did not reference meme stock speculation. Unlike more popular meme stocks GameStop(GME) and AMC Entertainment(AMC), Wendy’s does not have an excessive short interest. It also was solidly liked by Wall Street analysts. Of the 27 analysts listed by FactSet, 15 have Buy ratings.\nSome speculated that Wall Street pros tracking ticker mentions in Reddit threads may have been bamboozled by the phrase “Wen moon?” or “Wen rich?” which are winking references to the notion that Reddit users are “dumb money” wondering when their latest stock will take off,according to MarketWatch. “WEN” is also the ticker for Wendy’s.\nRegardless, the Piper Sandler analyst views the balance sheet and efforts to pay down debt and repurchase shares positively. She reiterated an Overweight rating and $27 price target, arguing the stock’s recent levels appear to be a decent entry point.\n“Over time, the company is positioned to leverage its technology and mobile ordering platforms (as a complement to mobile/grab-and-go and curbsidedelivery functions, as an example) while also working to deliver a series of increasingly personalized communications and offers to its growing base of guests within its recently launched loyalty program (which include 13 million total and 3 million active members as of the 1Q21 period),” she added.\nAlso on Monday, Northcoast analyst Jim Sanderson upgraded the stock to Buy from Neutral with a $30 price target, according to Bloomberg.\nThe mean analyst price target for Wendy’s is $26.15, according to FactSet. Meme or not, analysts still see upside.","news_type":1,"symbols_score_info":{"WEN":0.9}},"isVote":1,"tweetType":1,"viewCount":2678,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}