Physical AI + Humanoids are the next progression of AI. $NVDA CES 2025 projections and Elon's prediction on $TSLA + 1 Billion humanoids in the next decade, seems to be speeding up. New statement from Unitree CEO after testing GPT-6 on their humanoid program was that: - In August, before GPT-6's release, Wang said the industry could take two to three years at its fastest pace, or as long as a decade, to reach its "ChatGPT moment" - Now, OpenAI's GPT-6 model prompted expectations that a breakthrough could happen "within 1 or 2 years" - He defined that moment as robots being able to complete around 80 per cent of tasks in 80 per cent of unfamiliar environments using voice or text commands. - "It's possible that, say, a GPT-7 model released next year could directly crack the problems of embodied intelligence" - "The whole embodied intelligence industry has been shaken up after the release of GPT-6" Just looking at some benchmarks on robotic hand manipulation, "On the bowl task Astra placed the block in 19 of 20 trials, against Fable 5.1's 8 of 20". But for the puzzle task "Astra completed the insertion 2 times in 20 against Fable 5.1's 2 in 20"".. so we're getting there. But going from 2-3 years (potentially to a decade), and compressing that down to 1 or 2 years (to achieve 80%+ of tasks in unfamiliar environemnts) is a significant change in outlook.

Sure... Random train of thoughts on markets now, optics like $LITE / memory + $IREN / Anthropic. On Memory: - Demand visibility on $MU / Samsung / SK Hynix extend into 2030-2031. Samsung has LTAs covering 70% of their capacity into 2031 (likely with SK Hynix type price floors)... and their operating profit is already absurd. There's a consensus that shortage in 2027 will be much more severe than 2026... Even $SNDK expends gross margins to exceed 80% entering 2030. You're going to hear Acer and other CEOs that want memory prices to go down cite bear cases like CXMT/YMTC, and Chinese players. But just looking at supply procurement that $NVDA is doing + hyperscalers, demand visibility is absurd for the next 5 years. And by that time, cumulative FCF coming in from these take/pay + pricing floor contracts might exceed some of their entire marketcaps so it feels like there's some baseline. Near-term is always volatile (IV dropped a ton across $EWY to $DRAM to $MU), so people with call options likely got nuked, along with underlying prices. But if Samsung is 3x 2027E, has 5 year LTAs with 70% of capacity committed from hyperscalers, and price floors, it's kinda hard to see these names suffer a sustained crash... For optics: - $LITE is literally sold out into 2029, starting discussions into 2030. With demand visibility lasting into 2031… with hyperscalers largely funding the capacity buildout. Their 2028 Greensboro fab expansion was ~$5B in UHP laser capacity revenue alone, yet it’s basically allocated toward $NVDA (50%+ with options for more) and co from channel checks. Existing supply chain bottlenecks are extremely severe as optical content/XPU skyrockets entering 2027-2028. So everything from DSPs/TIAs, photodiodes, lasers, InP/SOI substrates, wafers (epi, SOI, etc) are expected to go brrr. And what does that imply to anyone else with enormous amounts of capacity coming online like $AAOI + $SIVE + $MTSI capacity expansion in 2027? Or other players like Sumitomo / Furukawa? But again it's not quite the same situation as memory since the BOM % is extremely low in a cluster... If micron/samsung raised another 2000% hyperscalers would go bankrupt. But doing that for InP substrates seems possible. Or a 100% increase on CW laser content. I actually thought $LITE was overvalued at $100B+ MC, relative to capacity expansion on your smaller optical players to their respective MCs. So I chose to position accordingly (But lumentum does deserve premiums for demand visibility). For the companies leading the charge like $NVDA / $AVGO / $MRVL: - Nvidia has 70% forward revenue growth FY2028 which is supply constrained growth. - Broadcom 100% Y/Y for 2027/2028 which is also supply constrained growth. - Marvell FY2031 upgraded guidance to $70B-$90B from $46B analyst projections... They all seem to be very happy.... and read through on demand for next 2-3 years is enormous (also echoing what $INTC CEO said today on the panel with $AVGO CEO). So you have overwhelming growth on memory + photonics + from the leaders... But the nuance is not everything in the AI supply chain get the same economic benefit. HBM/Laser/CPU/MLCC and other players in the bottlenecks look to be printing money. And seem to be the largest beneficiaries of the current bottlenecks. Test players are also getting price hikes + capacity allocated by players like $NVDA, but economic impact seems a tad lower than other players since forward P/E for many I modeled were still in the 45x+ range even if you hiked prices like 10-30%. As for capex intensive players... there's some like $IREN ($25-30B for 2027) that despite a deal with Anthropic ended up dropping. I don't think markets seem to appreciate players spending a lot of money + ongoing financing (think they're like halfway through their $6B ATM). Just some hopium for $IREN investors, $NBIS also signed a deal with $META at the start of the year (but markets didn't care at all, since Nebius dropped to ~$70-80 at the lowest point?). But did 6 months later, as the time to revenue inflection gets closer and you're past the ATM/capex window, markets would likely care more. I don't think it's irrational but at the same time, the fundamentals have improved from Mirantis acquisition to others. I also think it was known for awhile it was either OpenAI/Anthropic from CEO comments earlier too? But either way to be a more risk-off environment where funds seem to be rotating to larger names as a flight to safety. $CRWD / $PLTR as just two example, but my take is that the valuations of these rotations are reaching clown levels. And that certain AI supply chain beneficiaries in comparison are undervalued now. I was thinking markets would just rotate to names that are extremely profitable like Samsung or names that have <2X P/E, so it was surprising to see $KOSPI and some legacy memory players get sold off today. Since all of this is colliding with uncertainty about sht macro environments and renewed sustainability concern of AI capex/commitments from frontier labs like OpenAI/Anthropic from due to that FT piece recently. I've always been sounding the alarm about the contractual backlog OpenAI has with $CBRS, $MSFT, $ORCL and others earlier in the year. But OpenAI did just raise $122B or so , so I don't quite think they're at risk of going down anytime soon. I also don't think overall capex can just exponentially go up, but even if it stalls / hovers around a certain point or even drops... Capex toward certain areas like optics will still explode as hyperscalers fight over allocations when CPO scale up comes about, but might drop in others where more capacity comes online like test or DRAM. So it's a lot more nuanced than capex down = everything down or vice versa. I also slightly agree with community agreements that open weight models wouldn't lessen demand on AI infrastructure (otherwise $NVDA wouldn't be funneling funds into Reflection), but all the contractual obligations that Anthropic has might get messy if their models/company get cannibalized. Either way, I'd expect some of these frontier lab valuations to likely compress but I do think Jensen knows what he's doing though to avoid contagion. But basically: - Extremely difficult market now, can't just throw money at any AI supply chain company like $GLW and expect it to go up. There's cause for concern of rate hikes mixed with financing per $AVGO CEO but not to the point you just blindly sell off everything. Also I think markets are stupid and ties baskets together so that leads to mispricing + individual buying opportunities with certain chokepoints too. If capacity + demand is visible and forward p/e compresses like $AAOI to single digits off hundreds or thousands of percent growth from hyperscalers off $471m transceiver revenues and hundreds of thousands of monthly ELSFP capacity. Or $SIVE coming online with 100M+ laser capacity + multiple foundries with ASP hikes on lasers. I wouldn't lump them into other AI supply chain names in IP like $RMBS or others. My take is that AI supply chain beneficiaries with closer inflection points, demand visibility, and forward P/E compressing due to economic leverage would likely outperform medium term despite current volatility. TLDR: - Memory strongest risk/adjusted return with LTAs + pricing floors extending to 2030's + buybacks. - My opinion is that optical supercycle for 2027-2028 with CPO/NPO is going to look absurd relative to capacity coming online of smaller suppliers. - Overwhelming fundamentals/growth colliding with sht macro + media scares - Markets are stupid and groups things in baskets and sells them all off together or buys overvalued names, creating short/long opportunities I'd give a prayer to people on short term options given underlying drop + IV decline, but there could be a reversal... who knows. Most valuable thing right now is time.

Everybody wants a 10x stock. Almost nobody sizes the position properly, adds aggressively on drawdowns, or holds through full cycles. Without proper sizing, every position stays touristy. Without adding on weakness, compounding never accelerates. Without holding through cycles, the big move gets missed. Most people trade in and out, miss the parabolic runs, ask for pullbacks, and then keep waiting for even lower prices while the real gains happen without them. A true 10x takes full cycles, not months. Examples from my top 3 core holdings (>90% of portfolios since first entry): $PLTR: $8.80 (May 2023) → $209 (~24x in 3.5 years) $NVDA: $15.20 (Jan 2023) → $220 (~14.5x in 3.8 years) $AMD: $110 (May 2025) → $610 (~5.5x in 1.5 years)

RT @dannycheng2022: Conviction is not measured in months. It is tested across multi-year cycles. $NVDA: -66% in 2021–22, then about +407% over 3 years into 2026. $AMD: -65% in 2021–22, then about +447% over 3 years into 2026. $TSM: -56% in 2022, then about +409% over 3 years into 2026. $PLTR: -65% in 2022, then about +1,049% over 3 years into 2026. $HOOD: -90% from the 2021 high to the 2022 low, then about +1,600% off that low into 2026. Many missed the parabolic run by trading in and out. Many more failed to hold through volatility. And many more will never learn!

Chasing all-time highs is fine when the stock is in the right stage of a long-term uptrend channel. I’ve done it with these names, and those old highs now look like deep discounts: $NVDA at $38 (post-split) — prior ATH from summer 2023 $PLTR at $45 — prior cycle ATH from 2024 $AMD in the $220s — prior ATH from 2025 Those “expensive” highs became the new lows. Will explain more on this this weekend if I have time! @cantonmeow @sheslee @Hiteshp99 @starship_ride @niker8202 @RosannaInvests @tonylee80

While others hunted the next $PLTR, I bought more $PLTR! I shared a demonstration of how I accumulated $PLTR nonstop from $110 to $130 near this cycle low on X, when many were so certain it would fall to $60–$80. The point was educational, not to show off: accumulation rarely happens in one day. It often stretches across weeks, months, or even a year. That is also what I did with $NVDA from 2023 to 2024, and with $AMD from mid-2025 into early 2026. The next time whales and institutions offer a large discount, know what to do. While most people were busy hunting for the next $PLTR, I simply focused on accumulating more $PLTR through the market noise and the bearish tweets on X. That is why concentration, patience, conviction, and size determine my final gains, not luck. I can be lucky for a single day. I cannot be lucky for more than 1,000 days, which is how long it has been since my first $PLTR entry at $8.80!

Most Stocks Do Nothing for Months — And That’s Exactly When Winners Are Made (October 8, 2026) If you lack patience and conviction, you are better off leaving the stock market. Most losses do not come from picking a bad company. They come from thinking in weeks when the payoff is always measured in years. Good stocks can go nowhere for 6 to 12 months. That stretch feels like failure, but it is often the best buying window for a long-term investor. Price is consolidating, attention fades, and shares are available while almost nobody wants them. Once that base ends, Stage 2 begins: the uptrend, usually with a vengeance. The mistake is selling into that boredom. People treat activity as progress, so a quiet chart feels hopeless and they exit at the bottom or in the middle of the base. The genuine long term investors who do better usually do the opposite. They accumulate when the stock is ignored, size up only if the thesis still holds, and let time compound! Sounds easy but the majority find it difficult! Wealth from stocks is built in cycles of 3 to 10 years, not in a few months or a single year. When the right names keep doing nothing, that is often when the winner is made, if you can endure the flat stretch and filter the noise on X. That is the approach I have used with $NVDA, $PLTR, $AMD, and $OSCR over the past few years!

A bull market is not won by trading in and out. It is won by building conviction in the right stocks, sizing up, and adding whenever the market offers a real discount. From there the work is simpler and harder: sit through the volatility and ride the trend the whales have already set. That is why talk is cheap and a disciplined strategy is not. There is no need to keep hunting for the next A or B name. My top three core stocks, $PLTR, $NVDA, and $AMD, already making up more than 90% of my various portfolios, have proven my track record over the past two years, and they are very likely to keep performing well through the end of this bull cycle.

Almost every week over the past year, I get asked if it’s too late to buy $NVDA, $PLTR, and $AMD. The cost of sitting on the sidelines is higher than not owning them this cycle. No need to get my approval—if you never start a position, you’ll keep missing. That said, no stock goes up vertically, and every pullback or drawdown is what I always like!

Early followers know my track record. $NVDA: first entry $15.2 in Jan 2023. More than 15x since. 
$PLTR: first entry $8.8 in May 2023. About 21x since. 
$AMD: first entry $110 in May 2025. Can this do 10x for me? The process hasn’t changed. Each cycle, find the few names that actually matter. Hold through the noise. Add on real discounts so the position compounds instead of just sitting there. Not every entry will be a 10–20x. The edge is staying early on the right ones, and patient enough to let the math work.

The most expensive trade of 2026 was selling the leaders! (October 6, 2026) The most expensive trade of 2026 was not buying the top. It was selling $AMD, $PLTR, and $NVDA because fake gurus and permabears said the move was over. They did not just miss a level. They called the end of the trend, and anyone who listened got shaken out of the only trade that mattered. They called $AMD $300 after it had already hit $584. It is over $640. They called $PLTR $60 after it “failed” $135. It is near $190. They called $NVDA $100 off the $190 double bottom. It just made an all-time high at $243.37. That is not risk management. It is fake TA built to get you out. Follow them and you do not just miss a bounce. You sit out the uptrend, wait for a breakdown that never comes, and hand the shares to the person who ignored the call. The level they drew becomes your exit and someone else’s entry. Bad analysis does not stay on the chart. It transfers the position. Every share you dumped because you believed those targets was a generational AI ticket, sold low and marked up without you.

Lottery tickets vs. compounders. I still remember telling a few guys in my community two years ago not to go too heavy on $CLSK, $MARA, and $RIOT. They looked like lottery tickets, not long-term investments. I pointed them to $NVDA around $70 and $PLTR around $20 instead. My advice fell on deaf ears. Just holding and doing nothing: About 3.5x on $NVDA About 9x on $PLTR. A fortune, instead of bagholding. Conviction is easy to ignore until the price proves it! @chad_ventures @sheslee @cantonmeow

In a bull cycle, the edge is not finding more ideas. It is sizing the right ones. Find the conviction stock, size it properly, and keep adding on each drawdown so the gains compound. I use my monthly rental income for those adds, when whales offer the yearly discounts. Concentration in those names is what has let Lee @sheslee and me keep printing millions in each of our conviction stocks-- $PLTR, $NVDA, $AMD, $OSCR, $BB and more to be shared later. Of every strategy in a bull cycle, sizing the right stock matters most for maximum returns. Small stocks sit in a different bucket. I have plenty of wins and losses there, and I do not weigh them much, because most of them are lottery tickets. Many people keep hunting for the next $PLTR, or rotating through small names, and end up frustrated, because those are not the compounding stories. If time allows, I would like to do a Space chat with Lee @sheslee and @cantonmeow on why sizing the right stock is the most important strategy for maximum returns in a bull cycle.

$NVDA (October 6, 2026-Daily Chart) Many X gurus told you $NVDA was topping out back in 2023, and some of the smarter gurus even compared it to Cisco. By now they have gone quiet. Every time I look at those tweets, I can’t help laughing — they misled people into selling one of my highest-conviction stocks and missed the uptrend. Luckily, our community did the opposite. We have kept holding it since February 2024, and Patreon subscribers have been adding along the way. I have shared more than 40 bullish signals over the past two years. Know who you follow, and know who is selflessly sharing it on X for free.

RT @dannycheng2022: Conviction Cannot Be Borrowed (October 1, 2026) Even the right stocks do not protect you from losing money. Plenty of people still lost in $PLTR, $NVDA, and $AMD, the top 3 core stocks, which make up more than 90% in my portofolios because they were in the name without the behavior that made it work. Some shorted a primary uptrend and got squeezed. Some bought after a sharp run, then sold the first real drawdown because the position was larger than their nerves or their capital could handle. Others used options or leverage that forced them out before the thesis had time to play out, or they chased every dip and every rip until transaction costs and bad entries erased the edge. A stock can be a core winner and still be a losing trade if entry, size, and holding period do not match the volatility. That is why conviction cannot be borrowed. The holder who sat through 30–50% swings had a different risk tolerance, time horizon, and balance sheet than the person who had to exit. Copying the ticker is easy. Sitting through the drawdown is the trade. The person who held did not just own the stocks. They owned the volatility, the doubt, and the time. Without that, even the right names still lose money.

Most investors prefer to bottom-fish stocks that have already plunged. Price action, however, often tells a clearer story: it reveals both the prevailing momentum and the behavior of the whales who help set the trend. Every sector has leaders and laggards. A lesson I learned a decade ago—and do not intend to relearn—is to stay with the leaders rather than chase the laggards. Institutions and large holders tend to accumulate strong stocks for many reasons, while they sell weaker ones for a simpler one: the fundamentals are deteriorating. Fighting that trend, or defaulting to the retail instinct to buy what has fallen the most, is rarely a reliable way to make money or outperform. The semiconductor sector is a clear example. $NVDA and $AMD have acted as leaders and reached all-time highs, while $SMCI has struggled to reclaim $50, well below its prior high of $122.9. The difference is not subtle, and neither is the lesson.

My top 3 core holdings — $PLTR, $NVDA and $AMD — account for more than 90% of my portfolios combined. $NVDA and $AMD made all-time highs today. $PLTR is next. In a bull market, patience and conviction in the right stocks pay off if you know how to read them fundamentally and technically and ignore all the market noises and fake furus on X. Over the past three years, plenty of people trashed these names. Every time they pulled back and gave a discount to buy and accumulate, the same voices said the move was over. Those discounts were the entries, not the exit! It is not easy to be a bear here. You pay twice: once by missing the parabolic uptrend, and again by refusing the discounts that funded the next leg. The cost is not just being wrong. It is missing the compounding.

Skeptical crowd. Public receipts. Two calls that paid. (October 2, 2026) Called $AMD the semiconductor of this cycle in 2025 and shared my accumulation zone from $110 to $220 along the way on X, after the $NVDA call last cycle. Most were skeptical. Also posted the screenshot of how I timed the bottom and accumulated $PLTR aggressively from $110 to $130, while most gurus said it would drop to $60–$80. Check the repost. Plenty of mockery. Result: $AMD +5x from the May 2025 entry. $PLTR +72% in about 2.5 months. I share the research. Not financial advice. @cantonmeow @Jimmy_tesla_01 @Hiteshp99 @sheslee @tonylee80

$NVDA (October 2, 2026-Daily Chart) Trend Analysis: NVDA put in its low at the $189 double bottom and has since formed a base, in line with steady whale accumulation, currently at 81.77%. The momentum bars at $212, $216, and $218 have held as key support and reliable accumulation zones. Today it cleared the most critical resistance at $229. The next level to clear is $236. Don’t sleep on the leader.

Conviction Cannot Be Borrowed (October 1, 2026) Even the right stocks do not protect you from losing money. Plenty of people still lost in $PLTR, $NVDA, and $AMD, the top 3 core stocks, which make up more than 90% in my portofolios because they were in the name without the behavior that made it work. Some shorted a primary uptrend and got squeezed. Some bought after a sharp run, then sold the first real drawdown because the position was larger than their nerves or their capital could handle. Others used options or leverage that forced them out before the thesis had time to play out, or they chased every dip and every rip until transaction costs and bad entries erased the edge. A stock can be a core winner and still be a losing trade if entry, size, and holding period do not match the volatility. That is why conviction cannot be borrowed. The holder who sat through 30–50% swings had a different risk tolerance, time horizon, and balance sheet than the person who had to exit. Copying the ticker is easy. Sitting through the drawdown is the trade. The person who held did not just own the stocks. They owned the volatility, the doubt, and the time. Without that, even the right names still lose money.

Bro, $AMZN semi ETF portfolio is probably going to end up more compelling than what $NVDA owns... Today Amazon signed a $49.8M private placement into PCB maker Gold Circuit Electronics (2368). So now Amazon has ownership/warrants in: - $AAOI - Alchip - $MRVL (Celestial) - $ALAB - $CRDO - $JBL - $FLEX - $STM - $CBRS - $GNRC - $FN - TD SYNNEX - $QCOM - Gold Circuit Electronics And others.. If we look at the private placement amount for GCE in speciifc, it's like .36% of the company... Kinda small financially, meaningful strategically. Esp. since there were claims that GCE supplies ASIC-server PCBs to the four major hyperscaler CSPs... Regardless it's pretty funny to see Amazon to Nvidia start to own all the worlds leading companies. Since Amazon has exposure to the entire supply chain like PCBs now, optical fabric with Celestial, lasers with $AAOI, assembly from $FN to $JBL, ASIC partners like $QCOM / ALchip.

Everyone is asking "Where is Serenity" or "Who is Serenity". But nobody is asking... "How is Serenity"? I do read things from $AMD $8.2B acquisition of World Labs... but feeling pretty sick right now, so taking a little break. I remember saying physical AI + world models would major shift way back when, so maybe I should have invested in private companies at the time... Apart from that... other interesting news: - Some channel checks from ECOC was that $NVDA apparently secured 50% of $LITE Greensboro UHP laser capacity? And possibly contracts that allow them to secure the remaining capacity per Barclays. That's $5B in lasers (annual capacity)... so it's hilarious to see Nvidia go out and bottleneck the rest of the industry by doing this. But this just puts more strategic value on other merchant laser suppliers + more visibility for Lumentum. It's kinda game theory over allocation, since if you secure all the HBM, lasers, and others it inadvertently makes it much harder for competitors to scale their programs. - Then there's your massive $150B Nvidia authorized buybacks (just look at $AAPL when they did buybacks..) They're printing too much. - What's also interesting is that Samsung Electro-Mechanics is expanding their FC-BGA substrate capacity today... but customers are the one funding this. I also remembered $MRVL in SEC filings cited large body substrates as one of the core bottlenecks of their program (alongside $TSM sole source dependencies). So they also went out and did some other expansion agreements with related companies like AT&S recently. - OpenAI delaying Astra-6.1 October release over safety concerns just now. Nvidia also happened to launch an AI safety platform. I don't think this is meaningfully bearish that the models are just getting 2 good.

RT @dannycheng2022: Cycles Create Wealth. Months Never! (September 21, 2026) $AMD’s previous major cycle began after the December 2015 monthly red candle at $2.36 and ran to the February 2022 high of $132.96 — a little over six years and roughly 56x if you held the full move. This cycle’s monthly red candle printed in June 2025 while $AMD was trading between $111 and $148, all shared with my Patreon and X subscribers with "MUST-READ posts". I am not claiming the same exact path will repeat for $AMD, but I am happy with a 2x from here. That is why I keep saying wealth is created by long-term investment, not by trading in and out. Conviction is NEVER measured in months or a couple of years; it is measured across a 3-to-10-year cycle. I look for historical patterns, analyze charts and keep track of company fundamentals, have regular meetings with fund directors and managers from prestigious private banks, and share how we see the cycle (that kind of information is rarely available on social media unless you have worked in the field). I tell my community to keep everything simple when the majority like to trade in and out on X, outsmarting the whales: treat a handful of stocks as cores and keep for a cycle, with $AMD being one of them. Every meaningful drawdown is an opportunity to add. I do not rely only on red candles; I use my other proprietary indicators I do not share in public so they cannot be copied. My personal appraoch is very straightforward: stay with large-cap leaders in each sector, treat small and meme names as lottery tickets only, keep dollar-cost averaging in my core stocks only when the market offers a discount, and double down when the indicators flip bullish—especially when the bears are loudest. These strategies have played out successfully in recent years. I got Chad @chad_ventures to add more $AMD around $450, $480 and $500 after he built his initial position at $150, Seth @redfoxryder to load up heavily at $440-$450 after sharing my first buy order at $110 to $130 with him, and some of my closest friends at $150-$220. The last time my patreon community added aggressively was from $110 to $200 from 2025 to early 2026, when most were skeptical and some even unsubscribed to have missed the real move! Sorry that the stock market is never for the majority but for the patient and disciplined few only! Once again, thank you to my community who trusted my process. If a content creator simply told me to trade in and out, I would definitely quit because that is NEVER the right way to build and create your wealth and very often you will miss the biggest gains and the later parabolic move! Trading can be daily practice for fun and pocket money. Investment is an art. Long-term thinking and wisdom is extremely rare on social media because 99.999% of accounts are traders. I share my own buy and sell orders with Tier 3 subscribers only and will give even more detail in the personalized Tier 4 service. My proven track record speaks for everything. You can check my previous tweets on X and the $AMD gains screenshots I have posted before (I will not repost them here), when most claimed that they had shared their bullish signals for $AMD before. I have been lucky to highly concentrate on the right names in each cycle: $PLTR from 2023 onward, $NVDA since 2023, and $AMD since 2025. Those three now make up more than 90 percent of my portfolios. Luck definitely played a part, but luck does not last—my core positions come from meticulous research, both fundamental and technical, along with patience and conviction. I share my top holdings transparently and openly on X so anyone can watch the journey in real time, because I want others to succeed on their own path as well! @cantonmeow @Jimmy_tesla_01 @redfoxryder @chad_ventures @Hiteshp99 @sheslee @tonylee80

2 myths that blow up retail portfolios (September 27, 2026) Myth 1 Small stocks look like the easy 10x–20x path to wealth, so retail investors bet too heavy. Then the drawdown comes. Panic. They sell the bottom. Most small names are lottery tickets. Nobody knows which one wins. If your portfolio is heavily-loaded with them, one bad stretch can wipe you out. For lottery tickets, I NEVER keep DCAing. That’s important. Only add if conviction is still there and you are willing to stomach more than 90% volatility. Myth 2 Only sub-$10 stocks can easily do 10x. In Jan 2023 I bought $NVDA at $152 × 10,000 shares (pre-split) and sat. 15x+ in 3 years. $MU $70 → $1,000+ in 1.5 years $AMD $76 → $630 in 1.5 years $SNDK $28 → $1,700+ in 1.5 years None were pennies. Quality can 10x. Size it right. Hold. Cheap is not the requirement.

I never catch the exact bottom. I stopped caring. I focus on my own strategies only: 1. A few high-conviction name only 2. Wait for the cycle low to form and prices to stabilize 3. Buy the rebound + breakout 4. Keep accumulating for compounding while the long-term uptrend is intact 5. Size up and concentrate each time Aggressive buying and accumulating is how I make up for missing the low. That’s how I make up for missing the cycle low. First buys were already off the low. Then I kept adding amid retail fear and skepticism and when my indicators flipped bullish: 1. $NVDA $15.20 after ~$10.80 (~41% off the cycle low) → accumulated into $150 2. $PLTR $8.80 after ~$5.84 (~51% off the cycle low) → accumulated into $150 3. $AMD $110 after $76 (~45% off the cycle low) → accumulated into $220 4. $MU $700 after the 10x from $70 — bears called the top → accumulated into $850 One big initial entry is NEVER ENOUGH . Compounding is. When bears scream, check the trend. Alive → buy. Dead → wait. Missing the bottom is normal. Missing the trend is expensive.

Conviction, Concentration, and Cash (September 26, 2026) You do not need to win every trade or own every stock. Wins and losses are part of the process. What actually moves a portfolio is a small number of high-conviction companies, concentrated capital, and disciplined position size. That is why I treat names differently by quality and certainty. Leaders and large companies in strong sectors get more allocation whereas smaller stocks can still belong in the book, but they should be treated as lottery tickets. Nobody can reliably know which of those will outperform, and an oversized position in a low-conviction name will affect your emotions, and sleep during drawdowns. In practice, I keep my own thesis very simple. Most of my money has gone into my top five names. The next group, roughly positions six through ten, gets a smaller but still meaningful allocation. Everything beyond that is a just lottery-ticket sleeve. My proven track record in $PLTR, $NVDA, and $AMD is the clearest example of that approach: concentrated bets in names I understood both fundamentally and technically and sized properly. Concentration is extremely difficult because it cannot be borrowed. It comes from your experience in the market, your own research, and names you actually have conviction in. Conviction is never measured in months or a couple of years, but in cycles of 3-10 years. And no one can impose that conviction on you. Cash is the other half of the system. I keep about 20% in cash and never go all-in, even with a multi-million-dollar portfolio. Equities are only about 40% of my overall net worth. Markets do not rise in a straight line. In a drawdown, cash preserves optionality. It keeps you from selling at the wrong time or freezing and doing nothing. The last point follows from that. A long list of small winners rarely creates financial freedom. What compounds is a few well-sized conviction positions — the kind $PLTR, $NVDA, and ownasdfadfafadfadsfa were for me — plus enough cash to act when the market gives you the next discount!

Fake gurus said $AMD was going to $300. I told my community $1T was only the beginning. We loaded $AMD for six months while retail sat in fear, waiting for the big drawdown. Same play I ran on $NVDA in 2023–2024. Say no to fake gurus. Follow the indicators that actually work. Hilarious that those content creators charging $200–$2,000 a month somehow never put $AMD in their top 3. Premium research, I guess — just missing the stock that printed. If you want the list of bullish names you shouldn’t miss this cycle, come in and join us. $AMD crossed $1T. The thesis already paid!

Everybody wants a 10X stock. Almost nobody can sit through the plummet that comes first! $PLTR: 87% drop (2021–22) $AMZN: ~90–95% drop (1999–2001) $NFLX: 82% drop (2011–12) $TSLA: 65–75% drop (2021–23) $NVDA: ~66% drop (2021–22) $CVNA: 99% drop (2021–22) The 10X happens after most people have already sold. Volatility is the price of admission.

I lost $4 million in $TSLA. That loss paid for a 20x in $PLTR (September 25, 2026) Posting this again for new followers/subscribers. Every investor has big losses and big wins. What wastes time is self-pity and regret. The only useful move is to learn, then look for the next opportunity. In 2022 I lost more than US$4 million in $TSLA and took that loss in the $307–$320 range. It felt like a catastrophe. It was a blessing in disguise. That cut forced a hard lesson, and the lesson forced a bold move. Without it, I would not have made 15x in $NVDA from $15.20 or 20x in $PLTR from $8.80. A 20x from $307–$320 is about $6,000 — that is where $TSLA would have to be trading to match the same move. I did not wait for $TSLA to do that. I took the loss and got the 20x in $PLTR instead. I still hold some $TSLA as a reminder. When I shared that painful experience in public, many $TSLA bulls blocked me. They blocked someone who admitted a real loss, then later showed how he turned the table. That reaction revealed the uglier side of human nature: people often prefer a comfortable story to an honest one. At the time, $10,000–$20,000 price targets were treated as destiny. Maybe those prices come one day. Comfort is not the same thing as truth.If you never learn from your own mistakes, you never improve. Opportunities show up every month and every year. The difference is whether you can use them. I definitely like Tesla as a company and as a stock. Don’t get me wrong — I own more shares than most TSLA bulls, and I drive two Teslas. In short, take the loss when you see other better opportunities. Learn from the mistakes you make. Then move on!

Don’t Copy the Names. Copy the Process. Even though I share the names of stocks I am bullish on, copying those tickers will not automatically make you money. Plenty of people still lost money in $NVDA, $PLTR, and $AMD because they chased, overtraded, sized poorly, or sold during the drawdowns. I will later share a detailed post on how I have accumulated in specific zones over the past years using my own indicators—some public, some not. The real edge is not blindly following a list given by others. It is choosing the right stocks for each cycle, then pairing that selection with patience, conviction, dry powder during massive downturns, the discipline to ignore market noise on X, and proper sizing for a 3- to 10-year hold. Without those, the same names that created wealth for some will destroy capital for others.

$AAOI has finished a $500m ATM In April.. $600m ATM in June. Then filed another $600m in August. It's out of my control if management wants to abuse this trash repeated ATM structure. Instead following $AXTI like LTA prepayments and using that to fund buildout. Or taking private placements like $NVDA + Nebius for $2B and using that to fund buildout. Or convertible notes at 40% premiums. It's really hard for the stock to break out of $100 or $150 or $200 if there's $600M of selling pressure at those levels (and maybe expectations of future ATMs). I had the same criticism with $IREN with their $6B ATM, which is why it's been rangebound for half a year. And I'll say the same thing with my own thesis names too. I see $AAOI operationally very bullish for 2027, with $471m/month transceiver revenue. 400k ELSFP units/month entering 2028. The revenue ramp is absurd and can compress to single digit forward P/E. But I find it hard to get excited over funding infinite ATMs during the buildout, when you're sacrificing opportunity cost with names currently profitable like $SNDK or Samsung. I think a lot of retail investors conflate stock performance with how a company is doing operationally. $AAOI is capitalizing on a bottleneck with high demand visibility, but stock has been going nowhere near-term with repeated ATMs. I do expect AOI to strongly outperform (especially in 2027) if they stop issuing these stupid ATMs.

Not bragging. I’m here to show what actually compounds when you learn to invest in the right stocks for a cycle and size up, instead of trading in and out. $NVDA from $15.2 in Jan 2023 → ~15x $PLTR from $8.8 in May 2023 → ~22x $AMD from $110 in May 2025 → ~5.6x I have posted the screenshots before to silence the haters. I repeat: Real wealth is NEVER made in months, or even a couple of years. It is built across 3–10 year cycles — if you have the patience and conviction to sit still while everyone else needs a new story and keeps chasing new stocks. That is the whole game!

So update from $LITE + Win Semi ( $SIVE ) foundry: Lumentum in a meeting with Stifel at ECOC 2026 stated: - $NVDA Spectrum-6 CPO UHP demands increased materially. - NPO as larger than CPO, with multi-wavelength external lasers lifting ASPs (Sivers offers multi wave length DFB arrays, read through on higher valued products) - Demand for UHP lasers continues to exceed supply Just a status update in terms of how the optical bottleneck is going (laser prices going up, demand exceeds supply). Digitimes also reported today Win Semi ( $SIVE foundry ) was expanding capacity for CW lasers. - "CW products... are expected to gradually emerge in the second half of 2026", with meaningful revenue contribution likely coming in 2027 and 2028. - Win has strengthened inventory management for InP substrates while moving toward 6-in InP wafers for ongoing process testing. Currently relies on Tier-1 International suppliers. - Many of this was spent on DUV tools from $ASML but (Win Semi's orders spanned machinery, equipment, and fab engineering work) So that answers a lot of questions about Sivers' partner "how is this company securing InP substrates", "4in vs 6in", "production timing" TLDR: - NPO > CPO (per Lite), multi-wavelength lasers going brrr for prices - demand > supply (continuation) - Not sure why people have been bear posting Win Semi when turns out they have everything needed to mass produce CW lasers.

I’ve been running a barbell approach: cautious and aggressive at the same time. On the cautious side, I still want some relatively stable names with more manageable swings — $NVDA as one of my top two positions, plus $TSM, $GOOGL, $META, and $AMZN. Those give the portfolio ballast and long-term compounding. On the aggressive side, my biggest bets are $PLTR and $AMD, along with a few other high-volatility names I share with the community. That’s where I’m looking for asymmetric upside, knowing the swings can be much sharper. The goal isn’t to pick one style. It’s to keep enough stability that I can stay invested, while still putting real size into the names that can move the needle.

@dannycheng2022 Your story hit close to home. I subscribed in 2024 out of curiosity and honestly never left. At the time I was almost all-in $TSLA with a small $PLTR position on the side, plus a huge bunch of lottery stocks. I was stubborn. I held through everything. Watched my gains round-trip 5x over the past 2 years. Portfolio was a mess and I knew it. I don’t have multiple income streams like you. What I did have were your indicators. I used them to sell options for premium and stay in the game. Through you I also found a community of people who actually do the work — @cantonmeow, @sheslee and many others. That changed how I looked at this market. $PLTR slowly became my biggest position. I started following your signals and adding when it felt uncomfortable. Now I’m focused on building the core instead of chasing tickets. My only real regret is not buying more $PLTR and my core positions $AMD $NVDA $NBIS $HOOD $GOOGL earlier. These past few months the volatility has been insane. I used it to finally clean the book up. Somehow, even with all the noise, this portfolio has stayed pretty stable. I learnt that investing is 50% conviction and 50% patience when you are in the right stocks. Thank you, Danny. I am a small account but I am grateful I stayed and I will continue to stay!

Quality beats quantity. You do not need a crowded watchlist to build wealth. A few exceptional names can change your life. Everything else is usually noise dressed up as opportunity. My core holdings have been $PLTR, $NVDA, and $AMD. Those three did the real work. The rest of the names I mostly touched were lottery tickets—occasional wins that never compounded into anything meaningful. Joining more chat rooms and Discords does not necessarily make you a better investor. It usually does the opposite. Conflicting opinions dilute conviction, adding noises. Most of the people in those rooms are neither whales nor institutions; they are not the ones who move markets or set the long-term direction. Listening to them rarely improves your decisions. The edge comes from independent thinking. Learn to analyze businesses yourself fundamentally. Form a thesis. Then bet with real size when the odds look favorable, when market offers discounts or when indicators flip bullish. Life-changing money rarely comes from tiny positions or constant tinkering. No indicator, no chart pattern, and no Discord call will retire you. The only thing that does is owning the right companies, starting with meaningful size, and adding as the thesis plays out so compounding can work. Stay in until long term bearish signals appear or the thesis changes. Keep the process simple. A concentrated portfolio of high-quality names, held with discipline, will thank you far more than a complicated system full of noise.

Cycles Create Wealth. Months Never! (September 21, 2026) $AMD’s previous major cycle began after the December 2015 monthly red candle at $2.36 and ran to the February 2022 high of $132.96 — a little over six years and roughly 56x if you held the full move. This cycle’s monthly red candle printed in June 2025 while $AMD was trading between $111 and $148, all shared with my Patreon and X subscribers with "MUST-READ posts". I am not claiming the same exact path will repeat for $AMD, but I am happy with a 2x from here. That is why I keep saying wealth is created by long-term investment, not by trading in and out. Conviction is NEVER measured in months or a couple of years; it is measured across a 3-to-10-year cycle. I look for historical patterns, analyze charts and keep track of company fundamentals, have regular meetings with fund directors and managers from prestigious private banks, and share how we see the cycle (that kind of information is rarely available on social media unless you have worked in the field). I tell my community to keep everything simple when the majority like to trade in and out on X, outsmarting the whales: treat a handful of stocks as cores and keep for a cycle, with $AMD being one of them. Every meaningful drawdown is an opportunity to add. I do not rely only on red candles; I use my other proprietary indicators I do not share in public so they cannot be copied. My personal appraoch is very straightforward: stay with large-cap leaders in each sector, treat small and meme names as lottery tickets only, keep dollar-cost averaging in my core stocks only when the market offers a discount, and double down when the indicators flip bullish—especially when the bears are loudest. These strategies have played out successfully in recent years. I got Chad @chad_ventures to add more $AMD around $450, $480 and $500 after he built his initial position at $150, Seth @redfoxryder to load up heavily at $440-$450 after sharing my first buy order at $110 to $130 with him, and some of my closest friends at $150-$220. The last time my patreon community added aggressively was from $110 to $200 from 2025 to early 2026, when most were skeptical and some even unsubscribed to have missed the real move! Sorry that the stock market is never for the majority but for the patient and disciplined few only! Once again, thank you to my community who trusted my process. If a content creator simply told me to trade in and out, I would definitely quit because that is NEVER the right way to build and create your wealth and very often you will miss the biggest gains and the later parabolic move! Trading can be daily practice for fun and pocket money. Investment is an art. Long-term thinking and wisdom is extremely rare on social media because 99.999% of accounts are traders. I share my own buy and sell orders with Tier 3 subscribers only and will give even more detail in the personalized Tier 4 service. My proven track record speaks for everything. You can check my previous tweets on X and the $AMD gains screenshots I have posted before (I will not repost them here), when most claimed that they had shared their bullish signals for $AMD before. I have been lucky to highly concentrate on the right names in each cycle: $PLTR from 2023 onward, $NVDA since 2023, and $AMD since 2025. Those three now make up more than 90 percent of my portfolios. Luck definitely played a part, but luck does not last—my core positions come from meticulous research, both fundamental and technical, along with patience and conviction. I share my top holdings transparently and openly on X so anyone can watch the journey in real time, because I want others to succeed on their own path as well! @cantonmeow @Jimmy_tesla_01 @redfoxryder @chad_ventures @Hiteshp99 @sheslee @tonylee80

Just floating out an idea to $AVGO: If you lock up $SIVE laser supply for next few years since you need “more laser capacity”. You could unintentionally cause bottlenecks across your main ASIC competitors: Like $MRVL (Celestial), AlChip, Mediatek, GUC (Ayar CPO), first gen deployments. Where many also seem to be aligned with your best friend $NVDA… Maybe it’s worth discussing spending spare change to lock up the remaining merchant laser supply?

The 3 Easiest Stocks — And the Gurus Who Missed Them These three stocks ($PLTR, $NVDA and $AMD) ARE, in my view, among the easiest to make money in. 1. Get the analysis wrong and it means you don't even know the basic technical analysis. You need to start again from ABC! 2. Miss the parabolic run in one of them and you’re left with an awkward question: did you just pay a fake guru for the privilege of watching the train leave without you? The "geniuses" who told you to sell at the bottom didn’t just miss the move — they charged you a subscription fee to help you miss a generational opportunity. Meanwhile, services that never even mention these three names at the early stage still charge you $200–$2,000 a month. I was mocked and judged for 2 years for betting so big on them. Now the table has turned. It is not my style to attack or criticize anyone. I just refuse the trader mindset that keeps leading people to failure!

Conviction is not measured in months. It is tested across multi-year cycles. $NVDA: -66% in 2021–22, then about +407% over 3 years into 2026. $AMD: -65% in 2021–22, then about +447% over 3 years into 2026. $TSM: -56% in 2022, then about +409% over 3 years into 2026. $PLTR: -65% in 2022, then about +1,049% over 3 years into 2026. $HOOD: -90% from the 2021 high to the 2022 low, then about +1,600% off that low into 2026. Many missed the parabolic run by trading in and out. Many more failed to hold through volatility. And many more will never learn!

So on optical vs. photonics... Memory like $MU / $SKHY is in it's current supercycle. -> RBC channel checks for example projects 80-100% HBM ASP hikes for 2027. -> Per $NVDA ER, Hyperscaler capex goes up in 2027. Then you have 68% of hyperscaler capex per Trendforce going to DRAM/NAND. -> 50-70% for next 3-5 years already allocated toward LTAs. So supercycle is here... demand visibility is high and the price hikes are still ongoing. As photonics like $SMTC to $AAOI, I expect to cook heavily in 2027 since we're already seeing widespread optical shortages in 2026. Plus, you're going from $67.7B in 2026 (per GS) to $131.4B TAM in 2027 for optical modules... Which impacts the DSPs/TIAs/lasers/fiber suppliers before CPO scale up really takes off in 2028. I don't think we'll ever see the same scale of memory price hikes, but I do think there's a lot room for more for MC growth in optical supply chains (given smaller starting point eg. $1B CW laser supplier vs $1T memory maker). But still there's room for price hikes on laser content (eg. $15–$20 for 4 70 mW lasers per GS note) since starting point is really cheap... and one component, like cheap InP substrates can break hundreds of billions worth of supply chains downstream. We're already seeing laser price hikes tho from CIOE channel checks confirmed by both Innolight / $SIVE from the Serenity's follower channel checks. So entering uncharted territory. TLDR: Messy thought but, memory has near term earnings power, midst of current supercycle. The next "memory" ASP hikes I'm seeing is clearly legacy memory (DDR2/DDR3/SLC NAND) from cascading bottlenecks. It just looks to be an extension of the memory theme. Maybe MLCC looks similar in terms of earlier cycles. If we were to track supercycle impact on the supply chain in the space... I'm confident next thematic one looks to be photonics entering 2027.

You don’t need multiple winners but you need the right size (September 1, 2026) I spent a full year accumulating $NVDA from 2023 to 2024. From 2025 through the first half of 2026, I ran the same process with $AMD. Last week I even shared a list of the stocks I’m bullish on this cycle in a single post with my Patreon Tier 3 community. Most of them are charted regularly with all, and I will keep adding during massive drawdown. I don’t need a long list of winners. What matters is picking the right names each year/cycle and sizing them aggressively. Position size determines the final outcome. A few concentrated bets with real size is what sets me apart from others. Wealth is never built by trading in and out. It is built by buying, adding, and holding through each volatility. I don’t rely on luck. I rely on my own TA, which is why I feel comfortable DCA’ing into my top tier core stocks every month.

TLDRs of things I found interesting this week: - $INTC CEO says some memory prices have risen 5-7× and warns the shortage will worsen in 2027. $SNDK / $MU / Samsung bros will be happy to hear this... (from the AI Infra Summit 2026 in Santa Clara) - $GFS + $MRVL sign extended SiGe capacity agreement for pluggable/NPO/CPO. "Expected to add significant capacity to support Marvell’s growing requirements." I like to keep an eye out on Globalfoundries related updates given $SIVE is their reference laser for SCALE. - $CIEN expects roughly 30% annual revenue growth, 50% adj. gross margin, 20% FCF margin, through FY2029. The company says component availability, not demand, is limiting growth... Seems common across $NVDA to upstream suppliers that supply is the limiting factor for revenue growth. - Winbond acquires Infineon's NOR Flash and F-RAM business for $1.12 billion. Very surprised Infineon sold considering NOR Flash ASP + importance just keep going up and up and up, but good for Winbond consolidation. - Samsung reportedly expands outsourcing of DDR5-module and SSD assembly. I think some local Taiwan reports flag Transcend and Apacer as possible beneficiaries. The report specifically identifies Dreamtech, Hanyang Digitech and SFA Semicon. I've noticed other Korean firms entering new Samsung Electronics contracts for likely legacy memory modules maybe like ~1-2m ago.. So think some media commentary probably missed this too. Maybe too small for them to notice? - $NBIS raises AI cloud prices for the 2nd time in three months (~17-21%), bullish read through for other Neoclouds like $CRWV to $IREN earnings. - $AMZN signs $2.4B agreement with $GNRC for generator deliveries throughout 2027-2028... and received warrants tied to as much as $8B of aggregate purchases Good to keep an eye out on who Amazon signs these warrant agreements with (eg. Alchip, $AAOI, $QCOM, $MRVL, etc) and what type of infra procurement they want. - $TSEM and NewPhotonics begin volume shipments of laser integrated optical engines. Not familiar with newphotonics, so not going to leave much commentary here. But will do some research today. - Goldman Sachs reportedly sees the ABF deficit expanding from 14% to 51%. Forecast shortages are 14% in 2H26, 34% in 2027 and 51% in 2028... More substrate bottleneck stuff, not surprising regarding demand imbalances. - Crusoe raises $3.9B at a $30.9B valuation. Okay this valuation is better than Instinct raising at a bubble $10B valuation off 100k users... - Japan and the U.S. reportedly discuss a $12.9–19.3B $GFS run fab. That's like half of Globalfoundries marketcap lol. Not much details here. - $ARM CEO Rene Haas said he is confident that they can secure enough supply to meet $2B in customer demand (for their AGI CPU). There's probably a lot more demand, probably supply constrained growth as usual so good $ARM signaled confidence in securing allocations. - Supply chain sources said Kioxia has about 50% of its LTA capacity tied up, while SK Hynix/Samsung reserve about 70% of capacity for LTAs for 3-5 years. Not sure how people are bearish on memory.... I don't like posting updates one-by-one like a news reporter, so hope this saves some time of stuff I like looking at. On a side note was surprised markets from $AMD to $INTC rallied today after rate hikes. Think high-beta overshot the selloff the most.

I bought the gap-up and those gaps were the launch before the parabolic move. $NVDA — May 25, 2023 $30.54 → $38.52 $TSM — Jan 18, 2024 $100.16 → $108.19 $PLTR — Feb 14–15, 2023 $7.61 → $8.80–$10.11 $AMD — Oct 6, 2025 $164.67 → $200+ https://t.co/950lyevujc

Reminiscent of $NVDA w/ $LITE + $COHR: Foxconn is now considering joint investments to avoid upstream material shortages. Foxconn Interconnect Chairman identifies CW lasers and fiber as the biggest bottleneck in photonics. Very interesting to see these two themes reiterated across industry commentary. Almost like a certain Anime character on X was right about CW laser bottlenecks.

Just as a pep-talk statistic ahead of Fed decisions tomorrow. 50% of $NVDA employees are reportedly now worth over $25 Million. They didn’t get to that number paperhanding shares ahead of every macro scare or rate hike. https://t.co/saulhxBF3g

I do not touch the long-term book for 3 to 10 years. That idea is foreign to almost everyone. Daily price action is noise. It does not move my emotions and it does not cost me sleep. The moment I care is when retail fear is extreme or the market is falling hard. That is the only window worth using to DCA That discipline is how my key positions were built: $NVDA from $15.20 in January 2023, $PLTR from $8.80 in May 2023, $AMD from $110 in May 2025 and $HOOD from $9.5 in June 2023. I still hold every one of them — and I keep adding when the market hands me a deep discount each year! Why the “sell” chorus is ignored: the people who asked me to sell or trim in the drawdowns never owned more shares than I do, never do more research than I did, and never sat with fund managers and directors the way I did. Their panic is not a research note. When they shout sell, it is usually the signal to add. Fade retail. Follow the whales. A real compounder can trend up for two decades — that is what the last big-tech cycle already proved. Trust the crowd and you miss the uptrend. Take the dips the market hands you to build wealth, or sit out. The choice is yours! @cantonmeow @sheslee @Hiteshp99 @Jimmy_tesla_01

Size, Cycles, and Proof: What 20+ Years in Markets Actually Taught Me (September 15, 2026) After more than two decades in markets—through the 2000 dot-com bust, 2008 financial crisis, 2018 the trade-war scare, 2020 Covid, and the 2022 bear—I have learned that most people lose not because they lack ideas, but because they size the wrong things, follow the wrong voices, and think in the wrong time frame. I have been in this field since I left university. What follows is not theory. It is what I have seen work, and what I have seen destroy people. If you are new or still struggling, please take some time to read: 1. Never let small, speculative stocks dominate your portfolio Small names are usually stories, not businesses. Influencers love pumping them because “10x” sounds exciting. Most never deliver. Even the rare winners often suffer 70–90% drawdowns before any recovery. That volatility is hard to stomach and even harder to recover from if the position is large. I hold a basket of small stocks myself, but they never add up to no more than 2% of the whole portfolio. Not 2% each. Two percent in total. Size them like lottery tickets. Once the hype fades, capital in those names is often trapped for a long time. Evaluate the risk before you speculate. 2. Focus on world-class companies that fit the narratives of each bull cycle. Every bull market has a handful of exceptional businesses that keep making higher highs because the narrative is real. Do your own fundamental work and technical analysis to find them first. Then, follow people who share selflessly and have a proven track record. The best proof is not talk. It is screenshots that show both percentage gains and actual dollar amounts. Percentage alone can be theater. Amounts show whether the person actually sized the idea. If you have genuine long-term conviction in a quality name, always use drawdowns to add and accumulate instead of chasing high or when most are pumping on social media. 3. Sizing is the real skill, the most important one which brings you financial freedom A tiny position in a great company is tourism. A large position in a weak or speculative name steals sleep and distorts every decision. So, at least 50% of the portfolio should sit in high-quality, liquid, cycle-aligned leaders unless you deliberately choose to be an adventurer and accept the volatility. Big volatility can mean big gains—but only if you can actually hold. For myself, my top conviction stocks are $PLTR, $AMD and $NVDA, accounting for more than 90% in my various portfolios in total. 4. Fundamentals matter, but tracking whales matters more Most retail investors care about the fundamental research but unfortunately, the numbers most people see reflect the last quarter. Markets look 3–6 months ahead. Track institutional and whale ownership. Large, careful capital usually loads up before the story is obvious. Follow proven capital, not retail consensus. That is how markets have always worked. 5. Invest across 3- to 10-year cycles, not weeks or months. Wealth is built in cycles, especially in the ugly parts of them. A short time frame is closer to a casino. Frequent trading usually funds excitement, not net worth. The stocks that delivered 100x or more did so over a decade or two. They survived 2000, 2008, 2018, Covid, and 2022. Each time permabears said it was the end. Historically the bear phases have been shorter than the expansions. Dips are inventory events if you have dry powder. 6. Treat crises as the moment to add, not the moment to freeze. The people who come out far ahead are rarely fully invested at the top. They had cash and the willingness to buy when prices were ugly. If you believe in the business for a decade, a deep decline is often the best entry you will get. Learn to welcome those periods—when most people are losing confidence and losing their minds. Great businesses often come out of a crisis bigger and stronger. That is why the focus should stay on world-class companies with real fundamentals. To me, stock selection matters more than any indicator or piece of technical analysis. Rich people do not get rich because they blindly follow private-bank managers or do better technical analysis. They get rich because they pick the right companies and are willing, over the long term, to bet against weak consensus and mediocre fund management. Crisis is not the time to abandon quality. It is the time to own more of it. Markets reward patience, size discipline, and the courage to buy when the story feels finished. They punish haste, oversized speculation, and the need to feel clever every week. If you remember only a few things, remember these: keep the speculative basket at 3% or less in total, put real weight in world-class companies, follow people who can show both percentage and dollar results, and think in cycles of years, not weeks. Crisis is not the end of the game. For those with conviction and dry powder, it is usually the beginning of the next fortune. Stay solvent. Stay selective. Stay long enough. Disclaimer: This is not financial advice. I am sharing my own research and experience only. @Jimmy_tesla_01 @cantonmeow @sheslee @niker8202 @tonylee80 @Hiteshp99

$IREN CEO on Anthropic call for frontier slowdown: “Even if models never improved from here… just rolling out what they can already do would take more compute than the world can build for years” I agree, and current narrative is reminiscent of the $NVDA DeepSeek selloff or the $GOOGL TurboQuant scare. Guess what happened? These scares once or twice a year all turn out to be immaterial to the overall AI buildout. Especially when we have contracted demand all the way into the 2030’s now from advanced packaging to memory procurement.

I assign essentially 0% probability that Anthropic or OpenAI will slow down frontier development in any meaningful way. And that majority of the "regulation" they try making is regulatory capture to slow down competition. 1. Anthropic/OpenAI will not willingly hand over their lead to Gemini, xAI, Meta, or another frontier lab. -> Elon will want a slowdown to catch up with OpenAI. -> OpenAI will want a regulatory framework to slow down xAI + competition. Every lab has an incentive to support rules that constrain competitors more than they constrain itself 2. The US is not going to meaningfully slow frontier AI development while China continues advancing. (as seen with Trump's post today about rejecting AI slowdown). It would be probably the most flagrant national security risk if China leapfrogged the US in capability. Especially when both sides have called frontier AI capabilities "cyber nuclear weapons" 3. China will not slow down frontier AI development. That is a given. It will be theater if any of these parties agrees so publicly, because behind the scenes: -> They'll likely keep on progressing, whether it's OpenAI, the US Government, or China. If they wanted to slow down, they could have done so themselves at any point in time: Yet everyone is still fighting over the scarce resources to run AI as seen with memory procurement from Samsung going all the way to 2031. Or the $NVDA / $AVGO supply constrained 70-100%+ Y/Y growth protections. So I suggest people unfollow the clowns on X that predict AI stocks from $NVDA to $TSM to $MU will crash for engagement. All this does is cause retail to panic short term and hand over the keys to the kingdom over to others.

Tech people in real life: I have shares in “ $TSLA, $GOOGL, $SPCX. “ People on my X feed/comments: - Leveraged Micron, Sk Hynix calls all the way from $1M to $28M down to $4M - calls on short dated tanker freight futures because $AXTI 3000% 1Y returns wasn’t enough. - Long $PLTR short $LULU because inverse Burry indicators - Long Swedish high beta CW laser suppliers for CPO because it reminds them of $NVDA bottlenecking EML - “AI is going to end human civilization” so this is a signal for longer AI capex duration + trade wars so long $EQR cause tungsten. Gap between finance X and normal finance/tech people is also insane. I can’t help but feel proud that I’m partly to blame.

It’s the weekend but surprised I missed this from $ORCL earnings. Implications for $NBIS to $IREN are pretty positive since: Oracle said all GPU capacity for renewal were resold +20% premium above previous contracts. Majority of the equipment was 4Y+ and older… So another L for the Burry’s rapid GPU depreciation thesis. And W for $NVDA and the Neocloud party.

If $AMD is a $1T company (~$613) and, over a longer cycle, a $2T company (~$1,225), would you buy it here at ~$516? For context: back in 2023, when nobody wanted $NVDA and people told me to sell at $30, I added aggressively. My own research at the time pointed to it being at least a $1T name, and a $2T name over a longer cycle. Today it’s already a $5.26T company.

A single decision made with guts can rewrite your life. I used to be a highly concentrated $TSLA shareholder. In 2022 I posted a $4 million loss and wondered why people unfollow, and block me for no special reason except that I told the truth about the drawdown during that time. Had I kept that original book, I would never have captured more than 15x in $NVDA or 20x in $PLTR. No worry, I still own $TSLA. I’m not trashing it. I’m just being transparent, objective, and unbiased. I still own the stock—just not the size I did in 2021–2022. More than 90 percent of my concentrated portfolios now lives in $PLTR, $NVDA, and $AMD. Loyalty keeps you married to the past. Guts puts you in the names that rewrite the future. @cantonmeow @sheslee @Jimmy_tesla_01 @Hiteshp99

WHALES ALREADY PICKED THE WINNER — AMD 7.65x vs NVDA 2.72x FROM THE SAME CYCLE LOW Same cycle low: April 11, 2025 $NVDA $86.40 → $235 on May 15, 2026 = 2.72x $AMD $76.48 → $584.73 on July 2, 2026 = 7.65x Whales have already picked the leader with price action. Did you make the big money?

Yep, I'm personally high conviction on the AI trade (especially photonics/memory) despite macro. - $NVDA gave forecasts for $1.3T hyperscaler capex ($100B+ above BofA analyst expectations) - $SPCX Wells Fargo forecasts are ~$263B for 2027. - $127B spend in 2027 for Anthropic/OpenAI model training + inference from internal investor documents (WSJ). - Even the Pentagon (US gov) is looking to fund the AI buildout, with $5B potentially into Fluidstack. What sectors do I think capex flows hit the hardest? Photonics + Memory. Trendforce for example est. DRAM and NAND to be 68% of hyperscaler capex in 2027. So when all that memory procurement spend hits the balance sheets of $MU, $SNDK, Samsung, $SKHY with 70-80%+ margins. I don't think these companies care about short term macro scares. And when your leading memory companies are all allocating capacity for DDR5/HBM or high end memory, with little visibility on legacy memory supply coming online. What does that say about the durability of ESMT/Etron/Winbond and others? And when your optical content/GPU goes up for rubin ultra + $META / $GOOGL TPU v9, etc. Alongside TAM eg. $131.4 billion (+81% revision) for 2027 optical module forecasts. Who benefits from supplying all that lasers during a shortage other than $LITE / $SIVE / $AAOI / $COHR? I think the overwhelming fundamentals + growth of some of the AI sector companies will outperform macro.

$NVDA last cycle. $AMD this cycle. Same playbook. (September 10, 2026) Last cycle I went heavy on $NVDA in Jan 2023. This cycle, from May 2025, I told my community I was doing the same thing and went heavy with $AMD, amid retail fear and skepticism. Sorry that I didn’t catch the exact bottom at $76. I waited for the whales to set the trend first, then kept buying from $110 to $200. I shared those multiple buy orders with my Tier 3 community. Some didn’t believe and left. The ones who stayed have already made life-changing money. $AMD is not a lottery ticket for me. It is one of my top 3 core holdings. I started with a seven-figure position at $110 in May 2025 and spent 6 months accumulating it. That is a completely different game from the small speculative bets I take on smaller names (most as lottery tickets). I went heavy in $NVDA in January 2023 when almost nobody wanted it. I went heavy in $PLTR when most people still didn’t believe it would be a star of this cycle. I went heavy in $AMD when a lot of people still called it a money destroyer. I shared all of them selflessly, openly and transparently on X because as a genuine content creator, I sincerely want all people to win, whether you are on my patreon or not! Every time I see the bullish setup on these three names, I share it promptly. When my followers and subscribers ask “when are you selling?”, I do have a plan but it is not the right time to share. We are still early. In short, wealth is NEVER built in months. It is built across a 3- to 10-year cycle. Rich people stay rich because they don’t think like poor traders. They don’t jump in and out trying to outsmart the whales. The belief that “the more I trade, the more I make” is one of the most expensive lies in the market. The best investors do almost nothing most of the time. They do the most when retail fear is at its peak. The market doesn’t reward most traders who are always busy. It rewards those who are early, patient, and able to hold through volatility! @sheslee @tonylee80 @niker8202 @cantonmeow @chad_ventures @redfoxryder @Jimmy_tesla_01 @starship_ride

My Top 3 Core Stocks — more than 90% of my portfolios. $PLTR since $8.8 $NVDA since $15.2 $AMD since $110 Hardware that trains the models + software that puts them to work. That’s the thesis. Not financial advice. https://t.co/OhpkOaIuRd

Goldman Sachs in their recent note upgraded their global optical module market forecast to: - $67.7 billion (+33% revision) for 2026 - $131.4 billion (+81% revision) for 2027 - $148.5 billion (+115% revision) for 2028 For $NVDA Rubin Ultra, GS increased its modeled optical modules per GPU: 1.6T: 0 -> 2 3.2T: 3 -> 5 GS also raised their 1.6T and above forecast for 2027 by 61%... so that's also very material, with 80% silicon photonics penetration rate estimated. So more optical content per chip = a lot more CW lasers, more SOI substrates, happy optical companies.

$AMZN signs a new deal with $QCOM, giving Amazon the right to buy a ~$4B stake of Qualcomm through warrants. At this rate.. Amazon will be more of a semi ETF than $NVDA? Given their existing equity/warrants with AlChip, $MRVL, $ALAB, $AAOI, and others. This of course is linked with up to $60B in milestone revenue from Amazon/Qualcomm custom silicon partnership. Good for both companies, moreso Qualcomm.