Wall Street News: Keeping an eye on the global financial market - To The Moon

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10-24 19:49

反恐部队上街、卢浮宫关门！法国周末爆发新一轮抗议浪潮，动荡烈火有蔓延欧洲之势

反恐部队上街、卢浮宫关门！法国周末爆发新一轮抗议浪潮，动荡烈火有蔓延欧洲之势

10-24 19:03

AI军备竞赛烧向上游！报道称英特尔、英伟达、AMD预付逾千亿台币锁定高阶IC载板产能

AI军备竞赛烧向上游！报道称英特尔、英伟达、AMD预付逾千亿台币锁定高阶IC载板产能

10-24 17:34

“史上最大规模传票”！民主党“枕戈待旦”，马斯克中选后面临“全面报复”

“史上最大规模传票”！民主党“枕戈待旦”，马斯克中选后面临“全面报复”

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Invests no gambling

06-16

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Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.

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no gambling","avatar":"https://community-static.tradeup.com/news/36fa51bb4b75c0adc6108bf97e8a90fe","crmLevel":11,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4204818795581912","idStr":"4204818795581912"},"themes":[],"title":"","htmlText":"Good&nbsp;","listText":"Good&nbsp;","text":"Good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/575869390493288","repostId":"2643373567","repostType":2,"repost":{"id":"2643373567","kind":"highlight","weMediaInfo":{"introduction":"追踪全球财经热点，精选影响您财富的资讯，投资理财必备神器！","home_visible":1,"media_name":"华尔街见闻","id":"1084101182","head_image":"https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e"},"pubTimestamp":1781599906,"share":"https://ttm.financial/m/news/2643373567?lang=en_US&edition=fundamental","pubTime":"2026-06-16 16:51","market":"other","language":"zh","title":"Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.","url":"https://stock-news.laohu8.com/highlight/detail?id=2643373567","media":"华尔街见闻","summary":"面对DRAM暴涨，AI存储向低成本闪存转移。AMD收购MEXT将AI驱动闪存技术引入数据中心，苹果推进端侧闪存方案。巨头看重闪存成本仅为DRAM的1/55，正重构AI存储架构。","content":"<p><html><head></head><body><p style=\"text-align: left;\">AI inference's reliance on expensive DRAM is loosening.<a href=\"https://laohu8.com/S/AMD\">AMD</a>Announced the acquisition of memory optimization company MEXT, bringing AI-driven flash optimization technology to data centers. This signifies that AI storage architectures are undergoing a structural migration, and the core driving force is only one number:<strong>Flash memory costs only 1/55 of DRAM.</strong></p><p><p style=\"text-align: left;\">On Monday, AMD announced the completion of its acquisition of MEXT for an undisclosed amount. MEXT's AI-driven predictive memory technology aims to make flash memory behave more closely to DRAM, expanding available memory capacity while maintaining performance and efficiency. AMD stated that the acquisition will expand its AI product portfolio, helping data center customers improve performance, reduce total cost of ownership, and accelerate workload deployment. \"Demand for memory is growing in every category of enterprise computing,\" AMD said in a statement.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/a86b38617b68e608382e6d8db9bf1389\" data-align=\"center\" tg-width=\"1024\" tg-height=\"755\"/><span></span></p><p><p style=\"text-align: left;\">The acquisition news boosted AMD's stock price by 7.7% to $550.75 on Monday, bringing its market capitalization close to the $900 billion mark. The S&P 500 index rose 1.8% overall that day. AMD's stock price has risen by 323% year-to-date. Citigroup upgraded its rating on AMD from neutral to buy last Friday, and raised its price target from $460 to $575.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/fe5a732905489dfc96d3c249e9bea543\" data-align=\"center\" tg-width=\"882\" tg-height=\"984\"/><span></span></p><p><p style=\"text-align: left;\">It is worth noting that,<a href=\"https://laohu8.com/S/AAPL\">Apple</a>The \"LLM in a Flash\" edge solution was launched as early as 2024. Behind this move lies an intensifying DRAM supply crisis. According to TrendForce data, high-bandwidth memory (HBM) now accounts for about a quarter of all DRAM wafer capacity, and DRAM contract prices surged by about 90% quarter-on-quarter in the first quarter of 2026. Citrine Research pointed out,<strong>The demand for AI storage has become so great that it requires a multi-tiered architecture to support it. Flash memory does not replace HBM, but rather addresses overflow demands in terms of capacity.</strong>—This restructuring is repricing the entire AI storage industry chain.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/7db9e832d1e323bc33ae1b899213dd97\" data-align=\"center\" tg-width=\"1024\" tg-height=\"825\"/><span></span></p><p><h2 style=\"text-align: left;\">Memory tax crisis: Bottlenecks spread from AI to the entire economy</h2><p style=\"text-align: left;\">according to<a href=\"https://laohu8.com/S/MS\">Morgan Stanley</a>Analyst Shawn Kim's team's assessment earlier this month,<strong>Soaring memory prices and supply shortages are evolving into a comprehensive risk to the digital economy.</strong>\"From bottlenecks in AI infrastructure to hardware profit margins, device affordability, cloud costs, inflation, and even policy.\" This pressure has been evidenced by specific cases: Xbox CEO Asha Sharma said last week that memory costs have increased about fivefold in the past two years, preventing the company from producing the number of game consoles consumers need.</p><p><p style=\"text-align: left;\">HBM's continued erosion of DRAM production capacity is the core driver of this crisis. According to TrendForce and<a href=\"https://laohu8.com/S/SMSN.UK\">Samsung</a>,SK Hynix,<a href=\"https://laohu8.com/S/MU\">Micron</a>According to data disclosed by other manufacturers, HBM's share of DRAM wafer production capacity has climbed from 2% in 2020 to an estimated 25% in 2026. Massive cloud vendors are pre-purchasing future wafer output under multi-year contracts, further reducing the available capacity of standard chips for mobile phones and PCs.</p><p><p style=\"text-align: left;\">The construction of new DRAM production capacity also faces structural constraints. Capacity expansion relies on EUV lithography printing for finer linewidths, with each EUV unit costing approximately $200 million. The investment in a new wafer fab is often...<a href=\"https://laohu8.com/S/SBAY\">Tens of billions</a>In US dollars, the construction period would take several years even under smooth conditions. This supply rigidity is the fundamental reason why this round of shortages is sustainable.</p><p><h2 style=\"text-align: left;\">55-fold cost difference: the economic logic of flash memory substitution</h2><p style=\"text-align: left;\">According to Citrini Research,<strong>Flash memory costs about 1/55 of DRAM per bit—QLC NAND is about $0.05 per GB, DDR5 DRAM is about $2.75, and HBM3E is as high as $15.</strong>The potential for this price difference lies in the fact that the largest single memory consumption in AI inference—the KV cache (which records all previously marked contexts in each generation step of the model and can grow to hundreds of GB in long conversations)—requires far less reading speed than the decoding path of the model weights. For this type of sequential data reading, the speed advantage of DRAM is significantly reduced, while the capacity advantage of flash memory is fully demonstrated.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/8f9b061541f243d013842840b2a9af30\" data-align=\"center\" tg-width=\"1024\" tg-height=\"671\"/><span></span></p><p><p style=\"text-align: left;\">The expansion path of flash memory is also fundamentally different from that of DRAM. Flash memory increases capacity by vertically stacking more cell layers, relies on existing deposition and etching processes in existing factories, eliminates the need for new lithography nodes, and does not consume EUV resources. Flash memory controllers are manufactured based on proven 6/7 nanometer processes, away from the bottlenecks that are constraining advanced processes.</p><p><p style=\"text-align: left;\">A previous paper by Apple researchers, \"LLM in a Flash,\" provides methodological support: by storing large language model parameters in the device's Flash memory and retrieving them to DRAM on demand, models exceeding their capacity limit can be run on devices with limited DRAM capacity, and inference speeds can be achieved on the CPU and GPU, respectively, 4 to 5 times faster and 20 to 25 times faster than the simple loading method.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/1b87a29aa7ba0ff023c247b4f54e9951\" data-align=\"center\" tg-width=\"1024\" tg-height=\"630\"/><span></span></p><p><h2 style=\"text-align: left;\">Two paths: Synchronous evolution between the data center and the edge</h2><p style=\"text-align: left;\">AMD's acquisition focuses on the data center scenario. By integrating MEXT technology into AMD's data center portfolio, AMD seeks to help enterprise customers improve resource efficiency and reduce costs in AI workload deployments. Morgan Stanley's Shawn Kim team believes that despite persistent memory shortages, AMD still has a structural advantage in the cloud market competition—\"Agent-driven AI-driven CPU demand is structurally beneficial for AMD's expansion of its cloud market share.\" Citi's optimistic forecast for AMD is more based on its GPU sales and...<a href=\"https://laohu8.com/S/NVDA\">NVIDIA</a>A positive competitive landscape.</p><p><p style=\"text-align: left;\">Apple's path, on the other hand, falls on the device side. The \"LLM in a Flash\" solution transfers the reliance of model inference on expensive cloud memory to the device's local Flash memory, reducing cloud computing costs while providing viable memory architecture support for edge AI applications.</p><p><p style=\"text-align: left;\">According to Citrini Research, both paths lead to the same conclusion:<strong>The memory layer of AI inference is being restructured. Low-frequency KV cache, model weights, and edge data will gradually sink from the expensive HBM/DRAM layer to the NAND Flash/SSD layer, forming a multi-tiered storage architecture.</strong></p><p><p style=\"text-align: left;\">This structural shift is creating a multi-layered transmission effect along the industrial chain. According to Citrini Research, the most direct beneficiaries are NAND manufacturers, with high-capacity NAND, enterprise-grade SSDs, and QLC NAND being the purest directions, including SanDisk,<a href=\"https://laohu8.com/S/WDC\">Western Data</a>Micron and Kioxia.</p><p><p style=\"text-align: left;\">The SSD controller layer is considered the most durable—the core of truly bringing flash memory closer to the memory experience lies in controller, firmware, and NVMe architecture optimization, involving...<a href=\"https://laohu8.com/S/SIMO\">Silicon Motion</a>, Marvell et al. The CXL/PCIe high-speed interconnect layer also benefits.</p><p></body></html></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>Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.</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: 12.5px; color: #7E829C; margin: 0;}\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\">\nCitrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.\n</h2>\n<h4 class=\"meta\">\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">华尔街见闻 </p>\n<p class=\"h-time smaller\">2026-06-16 16:51</p>\n</div>\n</a>\n</h4>\n</header>\n<article>\n<p><html><head></head><body><p style=\"text-align: left;\">AI inference's reliance on expensive DRAM is loosening.<a href=\"https://laohu8.com/S/AMD\">AMD</a>Announced the acquisition of memory optimization company MEXT, bringing AI-driven flash optimization technology to data centers. This signifies that AI storage architectures are undergoing a structural migration, and the core driving force is only one number:<strong>Flash memory costs only 1/55 of DRAM.</strong></p><p><p style=\"text-align: left;\">On Monday, AMD announced the completion of its acquisition of MEXT for an undisclosed amount. MEXT's AI-driven predictive memory technology aims to make flash memory behave more closely to DRAM, expanding available memory capacity while maintaining performance and efficiency. AMD stated that the acquisition will expand its AI product portfolio, helping data center customers improve performance, reduce total cost of ownership, and accelerate workload deployment. \"Demand for memory is growing in every category of enterprise computing,\" AMD said in a statement.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/a86b38617b68e608382e6d8db9bf1389\" data-align=\"center\" tg-width=\"1024\" tg-height=\"755\"/><span></span></p><p><p style=\"text-align: left;\">The acquisition news boosted AMD's stock price by 7.7% to $550.75 on Monday, bringing its market capitalization close to the $900 billion mark. The S&P 500 index rose 1.8% overall that day. AMD's stock price has risen by 323% year-to-date. Citigroup upgraded its rating on AMD from neutral to buy last Friday, and raised its price target from $460 to $575.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/fe5a732905489dfc96d3c249e9bea543\" data-align=\"center\" tg-width=\"882\" tg-height=\"984\"/><span></span></p><p><p style=\"text-align: left;\">It is worth noting that,<a href=\"https://laohu8.com/S/AAPL\">Apple</a>The \"LLM in a Flash\" edge solution was launched as early as 2024. Behind this move lies an intensifying DRAM supply crisis. According to TrendForce data, high-bandwidth memory (HBM) now accounts for about a quarter of all DRAM wafer capacity, and DRAM contract prices surged by about 90% quarter-on-quarter in the first quarter of 2026. Citrine Research pointed out,<strong>The demand for AI storage has become so great that it requires a multi-tiered architecture to support it. Flash memory does not replace HBM, but rather addresses overflow demands in terms of capacity.</strong>—This restructuring is repricing the entire AI storage industry chain.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/7db9e832d1e323bc33ae1b899213dd97\" data-align=\"center\" tg-width=\"1024\" tg-height=\"825\"/><span></span></p><p><h2 style=\"text-align: left;\">Memory tax crisis: Bottlenecks spread from AI to the entire economy</h2><p style=\"text-align: left;\">according to<a href=\"https://laohu8.com/S/MS\">Morgan Stanley</a>Analyst Shawn Kim's team's assessment earlier this month,<strong>Soaring memory prices and supply shortages are evolving into a comprehensive risk to the digital economy.</strong>\"From bottlenecks in AI infrastructure to hardware profit margins, device affordability, cloud costs, inflation, and even policy.\" This pressure has been evidenced by specific cases: Xbox CEO Asha Sharma said last week that memory costs have increased about fivefold in the past two years, preventing the company from producing the number of game consoles consumers need.</p><p><p style=\"text-align: left;\">HBM's continued erosion of DRAM production capacity is the core driver of this crisis. According to TrendForce and<a href=\"https://laohu8.com/S/SMSN.UK\">Samsung</a>,SK Hynix,<a href=\"https://laohu8.com/S/MU\">Micron</a>According to data disclosed by other manufacturers, HBM's share of DRAM wafer production capacity has climbed from 2% in 2020 to an estimated 25% in 2026. Massive cloud vendors are pre-purchasing future wafer output under multi-year contracts, further reducing the available capacity of standard chips for mobile phones and PCs.</p><p><p style=\"text-align: left;\">The construction of new DRAM production capacity also faces structural constraints. Capacity expansion relies on EUV lithography printing for finer linewidths, with each EUV unit costing approximately $200 million. The investment in a new wafer fab is often...<a href=\"https://laohu8.com/S/SBAY\">Tens of billions</a>In US dollars, the construction period would take several years even under smooth conditions. This supply rigidity is the fundamental reason why this round of shortages is sustainable.</p><p><h2 style=\"text-align: left;\">55-fold cost difference: the economic logic of flash memory substitution</h2><p style=\"text-align: left;\">According to Citrini Research,<strong>Flash memory costs about 1/55 of DRAM per bit—QLC NAND is about $0.05 per GB, DDR5 DRAM is about $2.75, and HBM3E is as high as $15.</strong>The potential for this price difference lies in the fact that the largest single memory consumption in AI inference—the KV cache (which records all previously marked contexts in each generation step of the model and can grow to hundreds of GB in long conversations)—requires far less reading speed than the decoding path of the model weights. For this type of sequential data reading, the speed advantage of DRAM is significantly reduced, while the capacity advantage of flash memory is fully demonstrated.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/8f9b061541f243d013842840b2a9af30\" data-align=\"center\" tg-width=\"1024\" tg-height=\"671\"/><span></span></p><p><p style=\"text-align: left;\">The expansion path of flash memory is also fundamentally different from that of DRAM. Flash memory increases capacity by vertically stacking more cell layers, relies on existing deposition and etching processes in existing factories, eliminates the need for new lithography nodes, and does not consume EUV resources. Flash memory controllers are manufactured based on proven 6/7 nanometer processes, away from the bottlenecks that are constraining advanced processes.</p><p><p style=\"text-align: left;\">A previous paper by Apple researchers, \"LLM in a Flash,\" provides methodological support: by storing large language model parameters in the device's Flash memory and retrieving them to DRAM on demand, models exceeding their capacity limit can be run on devices with limited DRAM capacity, and inference speeds can be achieved on the CPU and GPU, respectively, 4 to 5 times faster and 20 to 25 times faster than the simple loading method.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/1b87a29aa7ba0ff023c247b4f54e9951\" data-align=\"center\" tg-width=\"1024\" tg-height=\"630\"/><span></span></p><p><h2 style=\"text-align: left;\">Two paths: Synchronous evolution between the data center and the edge</h2><p style=\"text-align: left;\">AMD's acquisition focuses on the data center scenario. By integrating MEXT technology into AMD's data center portfolio, AMD seeks to help enterprise customers improve resource efficiency and reduce costs in AI workload deployments. Morgan Stanley's Shawn Kim team believes that despite persistent memory shortages, AMD still has a structural advantage in the cloud market competition—\"Agent-driven AI-driven CPU demand is structurally beneficial for AMD's expansion of its cloud market share.\" Citi's optimistic forecast for AMD is more based on its GPU sales and...<a href=\"https://laohu8.com/S/NVDA\">NVIDIA</a>A positive competitive landscape.</p><p><p style=\"text-align: left;\">Apple's path, on the other hand, falls on the device side. The \"LLM in a Flash\" solution transfers the reliance of model inference on expensive cloud memory to the device's local Flash memory, reducing cloud computing costs while providing viable memory architecture support for edge AI applications.</p><p><p style=\"text-align: left;\">According to Citrini Research, both paths lead to the same conclusion:<strong>The memory layer of AI inference is being restructured. Low-frequency KV cache, model weights, and edge data will gradually sink from the expensive HBM/DRAM layer to the NAND Flash/SSD layer, forming a multi-tiered storage architecture.</strong></p><p><p style=\"text-align: left;\">This structural shift is creating a multi-layered transmission effect along the industrial chain. According to Citrini Research, the most direct beneficiaries are NAND manufacturers, with high-capacity NAND, enterprise-grade SSDs, and QLC NAND being the purest directions, including SanDisk,<a href=\"https://laohu8.com/S/WDC\">Western Data</a>Micron and Kioxia.</p><p><p style=\"text-align: left;\">The SSD controller layer is considered the most durable—the core of truly bringing flash memory closer to the memory experience lies in controller, firmware, and NVMe architecture optimization, involving...<a href=\"https://laohu8.com/S/SIMO\">Silicon Motion</a>, Marvell et al. The CXL/PCIe high-speed interconnect layer also benefits.</p><p></body></html></p>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/a86b38617b68e608382e6d8db9bf1389","relate_stocks":{"IE000KEQY171.SGD":"PIMCO BALANCED INCOME AND GROWTH \"M\" (SGDHDG) INC","LU0820562030.AUD":"ALLIANZ INCOME AND GROWTH \"AMH2\" (AUDHDG) H2 INC","HK0000914686.HKD":"GFI Global Select Equity Fund Class A (HKD)","LU2023251221.USD":"ALLIANZ GLOBAL SUSTAINABILITY \"AM\" (USD) INC","LU0965509010.AUD":"AB LOW VOLATILITY EQUITY PORTFOLIO \"AD\" (AUDHDG) INC","HK0000914660.USD":"GFI Global Select Equity Fund Class A (USD)","LU0345770308.USD":"NINETY ONE GSF GLOBAL STRATEGIC EQUITY \"A\" (USD) ACC","LU1571399168.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"IP\" (USD) ACC","AAPB":"2倍做多AAPL ETF-GraniteShares","LU1084165304.USD":"FIDELITY WORLD \"A\" (USD) ACC","LU0353189763.USD":"ALLSPRING  US ALL CAP GROWTH FUND \"I\" (USD) ACC","AAPD":"1倍做空AAPL ETF-Direxion","LU0787776722.HKD":"AB SELECT US EQUITY PORTFOLIO \"A\" (HKD) ACC","LU2089283258.USD":"安联环球可持续基金Cl AM Dis","LU0912757837.SGD":"JPMorgan Investment Funds - 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