To The Moon

People make lists of high-moat companies that I very much disagree with, so here is my list: Strong Moat 💎 $Visa(V)$ $Sea Ltd(SE)$ $Nu Holdings Ltd.(NU)$ $MasterCard(MA)$ $MercadoLibre(MELI)$ $Microsoft(MSFT)$ $ASML Holding NV(ASML)$ $Meta Platforms, Inc.(META)$ $NVIDIA(NVDA)$ $Amazon.com(AMZN)$ $Alphabet(GOOGL)$

5️⃣ Undervalued Companies Under $5B Market Cap 1/ $DLocal Limited(DLO)$ $DLO provides payment solutions in 40+ emerging markets, enabling large enterprises to accept hundreds of local payment methods. - $4B Market Cap - $35.4B Payment Volumes - 149% Payment Volumes Retention - $222M EBITDA - $171M Net Income - FWD P/E 17 - Growing Volumes by 50%+, Revenues by 40%+, EPS by 60% 2/ $Zeta Global Holdings Corp.(ZETA)$ $ZETA is a marketing technology company that uses data and AI to help businesses acquire, retain, and grow customers through sophisticated digital campaigns. - $4B Market Cap - 180 $1M+ ARR Customers - 392 $100K-$1M ARR Customers - $64M EBITDA - $160M FCF - FWD P/FCF 18 - Growing Revenues with 20%

$Zeta Global Holdings Corp.(ZETA)$ is releasing the earnings tomorrow! Here are 5️⃣ KPIs to watch! 1/ Scaled Customer Count In Q3 $ZETA grew total large customers by 20%. $1M+ ARR Customers by 25%. Any acceleration is welcome. 2/ Revenue Growth Analysts expect: - $379M - +20.5% Y/Y - +12.5% Q/Q 3/ GAAP Profitability Analysts expect: - $62M - +305% Y/Y - +16,000% Q/Q 4/ 2026 Guidance Analysts expect: - Revenue $1.73B +34.2% - EBITDA $383M +39.3% - Net Income $89M +324% - FCF $224M +42% A beat is a must! 5/ 2028 Guidance - Revenue $2.1B - ADJ EBITDA $525M - FCF $340M Investors would like to see $ZETA significantly increase the guidance to incorporate the Marigold acquisition and synergies. A 2029 Guidance would also be welcome. For SG users only, We

Plenty of different opinions on stop losses. Should you use a hard stop? mental stop? where do I place it? All good questions. I'll add *my opinion* to the mix. I'm primarily a swing trader. Most of my stops are mental nowadays. And If I do plan to stop out...it's in the last 10 minutes of the trading day or week. Here's why: Because I'm waiting for larger timeframe candle closes (fancy way of saying: how do the daily + weekly candles close?). So I typically won't stop out until I see a daily or weekly candle close below my level right at EOD. With the trickery, choppiness, and liquidity grabs of the current market, I often see my level broken, and then recovered (+ more, by EOD). Look at $SPDR S&P 500 ETF Trust(SPY)$ below for example. Daily c

1/ $NEBIUS(NBIS)$ $125K The next-generation dedicated AI Cloud Platform. They are reimagining the cloud for the AI era with a Cloud platform designed especially for training and deploying AI models. The first AI companies relied on generic cloud setups. This was expensive, slow to deploy, and not optimized for AI performance. $NBIS is changing it. Their $NVIDIA(NVDA)$ GPUs, custom-built servers are integrated with AI training software that's pre-configured and ready to scale. Developers can move seamlessly from a single GPU to thousands, cutting costs and accelerating AI development. The $17.4B deal with $Microsoft(MSFT)$ signifies their excellence. And $NBIS AVr

Buy and Hold Stocks for the Next Decade 1/ $SoFi Technologies Inc.(SOFI)$ SoFi has built a One Stop Shop financial services platform that is difficult to replicate. The company’s member base has scaled rapidly, surpassing 13.6M members, driven by a flywheel of cross-selling across lending, financial services, and investing. Each incremental product deepens engagement, lowers acquisition costs, and increases lifetime value, reinforcing SoFi’s ecosystem advantage. From its growing member base, the company originated $36.4B in loans. SoFi’s financial services segment has emerged as a core growth engine, delivering triple-digit revenue growth at scale. Products such as SoFi Money, Invest, Credit Card, and Relay are driving high-margin, recurring reven

Artificial intelligence is ushering in a new era of massive online fraud. Deepfakes, AI-generated identities, and autonomous agents are overwhelming legacy cybersecurity systems. And the scale of the problem is likely on the verge of dramatically exploding. Deepfake Fraud Is Growing Exponentially Improvements in artificial intelligence models, AI agents and LLMs are the technology that underpins the rise of deepfakes. The world's largest AI research labs and publicly traded technology companies are spending tens of billions of dollars on scaling the capabilities of their models and are producing breakthroughs in generative AI at a rapid pace. This is now translating directly into deepfakes causing meaningful fraud. Between 2019-2023 in the United States alone, fraud that could be attribute

It's the era of getting rich off "secondary winners". Here's how to profit: We hear all the sexy headlines...ai, space, robotics. But what about companies that win downstream? Stuff you don't immediately think about. Real picks & shovels. Put two & two together...it's stupid how much money will be made from companies piggybacking off of the innovation cycle over the next decade+. Here are the secondary themes I'm focused on: 1) Artificial Intelligence -> Cybersecurity. - deepfakes and synthetic media represent a threat to the largest companies in the world...everyone is at risk. Huge capital will flow here. (great article below by @thenewmoney_tnm) Top cybersecurity stocks: $CrowdStrike Holdings, Inc.(CRWD)$

Below you'll find some of the platforms, prompts, and pieces I use to analyze themes + relative strength. I noticed everyone was bookmarking a reply I made about finding the next *themes + strongest stocks in those themes*. So here's a guide: Step one. Find a platform or data source that analyzes theme performance, provides thematic maps, or has data of theme-specific movements. I will use @finviz_com's "Maps" tab for this example, but you can also use @thenewmoney_tnm's "Trends" tab (or others) as a backup. Step one. Click on the "Maps" tab in the nav bar. Next, click on "Themes" in the left side panel. Once on "themes", filter by 6-month, 3-month, and 1-month performance. For each, take a screenshot of the full map. So you'll have 3 screenshots at the end of this. Once you have these 3 s

Anthropic’s Claude models have created a massive sell-off is Sofware-as-a-Service businesses, as investors run away from disruption. My colleague Hazel prepared the above overview of the worst-performing stocks YTD. As you can see, it is dominated by SaaS names. $Intuit(INTU)$ is down 33% $Gartner(IT)$ is down 33% $ServiceNow(NOW)$ is down 28% $Workday(WDAY)$ is down 26% This fear is rational, as historically, SaaS monetised its services through seat-based pricing. This was a very straightforward way to monetise software. The more features were added, the more usefull software became. Each incremental feature served as a