Dom Bruno

@stocktalkweekly Awesome work, keep grinding, you're on track to be one of the GOATs

Since I began sharing my portfolio transparently (all positions, weightings, entries & exits) at the beginning of 2024, total return is now: +2,668.09% vs. +51.58% for S&P-500 Nearly 30x … The past few years have changed my life. Put in the work & the market will reward you.

@stocktalkweekly One of the few services worth paying for

When I first started my service, it was $20/month. I realized within the first year that demand was insatiable, because thousands of members signed up & hardly anyone ever cancelled. So, prices had to go up. Every year since, I've had to continue to raise prices to moderate the never-ending stream of new members. Our service is uniquely transparent. I share all my positions, weightings, cost-basis, and live entries & exits. I also share my performance along the way. I started sharing my portfolio transparently at the beginning of 2024, and since then we've posted 3 consecutive triple-digit return years (+260%, +505%, and +115% so far this year). All of my picks are swings or investments. No scalps or day-trades. I don't share a new ticker every week, and the portfolio stays tight with anywhere from 10 up to 25 positions at a time. No OTC, no illiquid ADRs, no meme stocks, no 0DTEs. All U.S. listed names with a real thesis. I never, ever pump & dump on our members and I don't shill weak narratives. Our competitors either A) have 200 positions with no sense of conviction or B) share ideas, but don't share their entries/exits/weightings or C) share new ideas every day or week and pump & dump on their members. We do none of the above. People who are tired of "idea" sharing with new charts, stocks, and half-baked thesis shared every week have found that our service provides a much more easily followable structure with clear indications as to what exactly I'm doing. That's why so few people ever leave. If our service is too expensive for you, that's fine! I share plenty of free ideas on Spaces and on my X feed. But, if you want to know what a real trading & investing community looks like, I encourage you to check us out. Cheers 🍻

I recently reviewed my last 10 years and the majority of money I've made on any individual stock/investment was made in a 12-24 month period. eth -> 2017-2018 $net -> 2019-2021 $tsla -> 2019-2021 $crox -> 2020-2021 $sqqq -> 2022 $smci -> 2023-2024 $celh -> 2023-2024 btc -> 2023-2025 $soxl -> 2025-2026 $mu 2025-> ? Still holding tsla, mu, btc, but interesting to see that sometimes buying and holding forever may not be the best strategy. I think forever long $qqqm and holding 3-6 individual names for 12-24 months can work extremely well. My annualized return is over 40% since 2019, no options. (includes taxes).

The people encouraging you to day-trade don't consistently beat the market over time. If you want to be active, do deep research (both technical & fundamental), build a portfolio, monitor the quarterly reports & hold. If you want to be passive, just get a job & buy the S&P-500

Long $mu since $90, no plan to sell this year!

@Cellgoliath That risk is addressed in their S-1 but only because TSMC may prioritize other companies, clearly it's something management is addressing. The fact that TSMC is hitting production capacity limits is a huge risk for all chip companies that the market is kind of ignoring right now

@dombruno They need new or another foundry, otherwise they can't produce enough wafers

Let's just say I'm very excited for the Cerebras $CBRS ipo. Average of $25/share, first time I invested was 2023 at $11/share. Amazing company!

@Cellgoliath No target but I would imagine they target $160-$180 for IPO [hiive has them at $160] and hit market at $180-$220. From there who knows but if chips continue to be strong and they sign some more deals I think $300-$400 is possible this year.

@dombruno What's your price target?

@rishabhg21 @citrini $25b in backlog, mostly from OpenAI yes, but look at all other AI hardware right now. Not to mention their API which is great for using open source models.

@citrini $CBRS is a $510M revenue company asking for a $23B valuation, with OpenAI as their largest contributor

I think the $CBRS IPO is going to be very successful.

@Jason @amazon @Microsoft @openclaw A great way to be hired and then fired 2 days later ^_^

If you were laid off by @Amazon or @Microsoft in the past two years, learn @openclaw and automate your previous job on your laptop (or hosted) then email your manager’s manager and show them what you built ask for a 20% raise to come back to the company You will be hired back immediately If they don’t hire you back, email ten startups and show what you built and get seven offers As Jensen @nvidia said, you won’t be replaced with AI — you’ll be replaced by someone using AI If you want $25k to start an openclaw startup, email me and my team your work/pitch: openclaw@launch.co

@FIREDUpWealth Lord of the Rims 🚗 Master Bait & Tackle 🐟

What’s the worst name for a business you’ve ever seen? I’ll go first: 1. Kum & Go ⛽️ 2. Fuk Mi Sushi 🍣

@Citrini7 Or you short $LPLA near $400 and cover thinking it'll retest $400 but then the market realizes that $LPLA should not exist in an AI world 2 hours later

Now this happens in 4 days instead of 3 months.

@VoltPortfolio @Citrini7 More chips === better AI......................................................

@Citrini7 I'd say because it could be cyclical Revenue growth in 2 years from now could be negative What probability you would assign to such?

Nvidia is basically trading at the 12m fwd market multiple…for 60%+ revenue growth.

@DeItaone OpenAI already signed a deal with Cerebras because of this. Nvidia bought Groq because of this...

$NVDA - OPENAI UNSATISFIED WITH SPEED AT WHICH NVIDIA’S HARDWARE CAN SPIT OUT ANSWERS TO CHATGPT USERS FOR COMPLEX PROBLEMS -SOURCES

@LQDA_Bull1 @Citrini7 There's a difference between playing catchup (intel) and not even meeting 1/2 demand (micron)

@Citrini7 I saw the $MU CEO on CNBC the other day pumping the stock because they're building a plant in NY that will have meaningful production in..... 2030. 😂

I’m bullish on the long term intel story but honestly it’s crazy that this is news to people. What was the expectation here lol

Daily sudoku brainplay.com/sudoku

OpenAI🤝Cerebras openai.com/index/cerebras…

@hamids @ThothCapital $mu typically trades at a 10 forward PE, that puts you at $400-$600 based on current analysis for 2027

@ThothCapital Do you know of any big profitable tech companies growing at 23% (or more) with a PE of just 20?

Some super-simple math on $MU: - It's expecting $18.7 Billion revenue THIS quarter - $8.10 per share of profits (EPS) assuming -0- growth until 2027, that gives them: - $74.8 Billion Revenue run-rate - $32.40 of EPS They say their entire 2026 capacity is sold-out. So unless: - They are lying or - They simply can't deliver for some unforeseen reason This is CONSERVATIVELY a 30 (PE) x $32.40 (EPS) = $972 per share stock in just 1 year. That's a 180% upside potential based on EXPECTED revenue and profits! Seems kind of crazy. This is my OPINION. Not investment advice. BUT, I'd love to know why I'm wrong. I feel like I haven't seen such an obvious opportunity on the market for a while, so even *I* am a little skeptical of this insane opportunity. WHAT. AM. I. MISSING!?

@Cowbayc1 @hamids TPUs use HBM

@hamids OpenAI locked in 40% of HBM supply but doesn’t have the cashflow to pay for it. Googles TPU don’t use HBM and next leg of growth is inference (TPU/ASICs).

I just doubled my position in $MU. Now ~6% of my portfolio. Reasons in screenshot. Give me your best argument on how/why Micron would not be a $750-$1,000 stock by end of 2026. I think that might even be super conservative. Go!

@amitisinvesting Bullish for $NVDA, they can offer a single, heterogeneous AI platform that natively optimizes each stage of the workload: training, long context prefill, and low latency token decoding, on the most efficient silicon, all orchestrated by a unified software stack.

@amitisinvesting Enjoyed the stream as always, but I would disagree that buying Groq is about memory. It's about inference. HBM is too important in AI training and batch inference. Most likely Nvidia will implement Groq chips in their ecosystem and will have software that will determine which workload goes to which chip. Also Groq uses SRAM which is not a cheap alternative to HBM.