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.

$TSLA (October 8, 2026-Daily Chart) Trend Analysis: Red Ribbon Likely to Expand in Panel 1 Price is working higher in steps. The last volatility hole was the bottom amid retail fear and skepticism. Since then, action has been choppy inside a mid-term uptrend, marked by the red ribbon in Panel 1, while whale accumulation has climbed steadily to 37.6% in Panel 3. Two bullish signals are still in play: 1. Red ribbon (Panel 1) — the stronger signal. It marks the mid-term uptrend, so it is more sustainable and reliable than a single candle. For it to expand again, Panel 3 needs strong, steady whale accumulation, not just a one-day spike. 2. Bullish red candle (October 5) — the weaker signal. It only holds with a consistent daily close above $381.59. A close below $365.91 invalidates it. A yellow candle on the daily chart can erase it easily, which is why the red ribbon outranks the candle. Overhead levels, in order: the longest momentum bar at $380 acts as the temporary resistance, which might requires some more attempts to break through. Still ahead are $393, then $408, then $422 respectively. Clearing them is a matter of time and patience, not a single session. MUST-WATCH: Dr Cat's Video Insights on $TSLA https://t.co/cBYJKL8YlT @cantonmeow @Hiteshp99

They mocked our entry. Sizing did the rest (October 2, 2026) I really admire Lee’s (@sheslee) vision and judgment. She bought $TSLA in the $15–$25 range, rode the volatility, and sold between $330 and $350 in 2021-2022. In our daily conversations back then, she told me another 10x from there would still be hard. That view is what pushed me to act without any hesitation! In 2022, before the split, I sold most of my $TSLA at a loss, around $300, and rolled the money into $PLTR at $8.8. Most people mocked it. That mockery was worth it. $PLTR is up about 21x from that entry. To match that gain, the $TSLA I sold would have had to go from $300 to about $6,200. It didn’t. I’m not sure it reaches that this cycle. It doesn’t have to. The rotation already has, and that return has already brought life-changing money if you know how to do your own TA properly and dare to make a big move. Even so, plenty of people now told us that we should cash out and lock it in. That is a poor man’s mindset. The most violent part of the rally has not happened yet. History makes the case clearer. Most of America’s big tech winners have done more than 100x from their cycle bottoms, and some have gone beyond 1,000x. $PLTR’s cycle bottom was $5.84. Timing the exact low is useless if the position is too small to matter. Sizing is what turns a good idea into a life-changing outcome! So thank you to every sour, jealous voice and every “smart” guru who kept trashing us. Without that noise, we would not be where we are today. @sheslee @cantonmeow

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!

$TSLA (September 25, 2026-Daily Chart) How to Spot the Buy Signals? Trend Analysis: Red Candle in Force + Red Ribbon The market always offers opportunities if you follow reliable indicators. TSLA is one of them. Buy signal 1: The latest volatility hole marked the recent bottom at $300 and printed a 100% spot-on buy signal. Price then chopped higher into an uptrend, confirmed in Panel 3 by whale accumulation, now at 32.5%. Buy / accumulation signal 2: Once a longer momentum bar was cleared, it became a fully reliable add-on: former resistance flipped to support. The momentum bars at $320 and $350 show this clearly—after they were cleared, they served as reliable buy signals and later held as support. As long as the bullish red ribbon keeps unfolding in panel 1, individual red and yellow candles do not matter. Focus on a big picture please. Dr Cat' Video Insights: (Must Watch) https://t.co/yLHYJJe6sm

@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!

RT @dannycheng2022: Why Most Stock Price Targets Are Just Clickbait—and How to Find Realistic Target Prices? (July 28, 2025) Most target prices from analysts and technical analysis (TA) "experts" are often just clickbait. I vividly remember back in 2021 when $TSLA bulls were hyping the stock to absurd levels, predicting it would soar to $3,000–$5,000 by 2025, with some even claiming it could hit $10,000–$20,000. I got into heated arguments with these folks, asking them how they arrived at such lofty targets. Their response? "Just wait until 2030." That kind of answer is not only irresponsible but also reeks of dodging accountability. Similarly, in 2022, when $TSLA was trading around $110, a genius boldly predicted it would plummet to $69. Did it happen? Of course not. I challenged him to explain his reasoning, but instead of a thoughtful response, he got defensive, rude, and eventually blocked me. I don’t need people like that in my circle—those who make wild claims without substance. The market is already noisy enough, filled with self-proclaimed gurus spouting baseless predictions. Then I came across Dr. Cat @cantonmeow in 2023 and Matt @greatmattsby in 2024, who take a refreshingly grounded approach---using Fibonacci levels and Gann charts to map out the trajectory of stocks and assets, identifying key support and resistance levels step by step. Such method isn’t about flashy, clickbait targets; it’s about realistic, data-driven projections that respect the market’s natural rhythms. I’ve come to appreciate this kind of analysis far more than the hype-driven guesses of others. Nobody has a crystal ball—not top-tier analysts from private banks, not influencers! So, stop asking the target prices from people who can’t back up their claims. Focus on those who provide clear, logical reasoning and let the market’s patterns guide you. The truth lies in the charts, not in bold headlines or social media bravado. If you want to navigate the markets successfully, tune out the noise, seek out realistic perspectives, and always question the logic behind any prediction. @cantonmeow @greatmattsby @gabz_investing @starship_ride @seafoojai @tonylee80 @sheslee @redfoxryder @HeidingOut

$TSLA (September 17, 2026-Daily Chart) Trend Analysis: The last volatility hole marked the recent bottom in panel 1, and momentum has been building since then. That shift is visible in whale accumulation, which has steadily risen and now sits at 17.97% in panel 3. The daily uptrend remains intact as the bullish red ribbon continues to unfold, even with choppy price action. Near-term support is holding at the volume shelf’s point of control around $353.6, while momentum bars at $368, $393, and $405 act as near-term and mid-term resistance. Dr Cat' Video Insights: (Must Watch) https://t.co/MpyRX1T7k2

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.

Direct. Transparent. Receipts only. (September 13, 2026) I am one of the most direct voices on X. Kindness gets kindness. Rudeness and offense do not. Time is too short for that. I am also one of the most transparent people on this platform. Plenty of accounts brag about how many times they multiplied their money. Very few genuine ones are willing to post a screenshot with the actual figures. Percentages alone often hide position size. Permabears? Many have gone three years without a single real screenshot. Know who you follow. When I post my own screenshots — both the percentage and the real numbers — it is not a flex. It is education. Wealth is built by long-term investing, not by flipping names every day. Trading is fun but it is genuine long term investment which creates ultimate wealth! I share quite a number of charts and the most reliable indicators I use, for free, on X every day. If you want more, the community is there: 50+ daily updates, the full picture, not just the highlight reel. Unlike most, I don't hide my losses, especially more than US$4M in $TSLA in 2022. I explained why I was a big loser, and how that journey turned into more than 15X in 3 years by picking a handful of right stocks, betting big and adding for compounding gains during the massive drawdowns each time. That is the lesson: from a big loser to a humble winner. Humble enough that I still cannot buy a brand-new villa on the Peak in Hong Kong, worth US$2B at least. Follow for the work. If you have known me long, you know I chart about 8-10 hours a day — not because I am poor, but because I want the community to succeed, and because I love the work. Life without purpose is a complete waste. We all live once. Make it count! Stay if you want the truth, the most objective facts, the screenshots, and the long game — and if you value genuine long-term investing. Leave if you only want slogans, empty promises, and the scams that dominate X. No worry. I will not expose the scammers. That is also a courtesy! @cantonmeow @blondebroker1 @niker8202 @sheslee @tonylee80 @gabz_investing @chad_ventures @RosannaInvests @HeidingOut @Hiteshp99 @Jimmy_tesla_01

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

How I use the Volatility Hole and blue ribbon to time the bottoming signals (September 9, 2026) I regularly share the bottoming signal from my proprietary Volatility Hole indicator and the descending blue ribbon with my community, and I mark those posts as “MUST-READ” or “Volatility Hole.” Recent examples include: $BE $TSLA $HOOD When these signals appear, accumulate in the zone I highlight on my daily and weekend posts. Then wait patiently for additional bullish confirmation before doubling down. Today, one ticker I shared in the semiconductor post has shown similar early bottoming signals. Please check it out.

Tickers currently showing a volatility hole together with descending blue ribbons — a setup that often marks the recent bottom — are listed below. 1. $HOOD 2. $TSLA 3. $NOW 4. $MSFT These are the signals that matter in my TA— learn to read them (upper boundary vs lower boundary) in detail. I highlight them regularly in the MUST-READ posts. And once again, thank you to my community for trusting the signals, staying with them, and continuing to add at the discounts.

RT @dannycheng2022: $TSLA (September 2, 2026-Daily Chart) How to read my chart more accurately? 1. A volatility hole together with a descending blue ribbon is an early bottoming signal. Weaker stocks usually need two or three of these holes; stronger names often need only one. 2. After this reliable indicator, price typically enters a choppy consolidation. Both red and yellow candles appear. This is the phase where whales shake out weaker retail holders. 3. When the descending blue ribbon (downtrend) begins to tighten, it often marks the start of a new uptrend. That uptrend is confirmed by the appearance of the bullish red ribbon or a trend reversal red candle. 4. On volatile names, red and yellow candles can keep alternating. That does not break the trend as long as candles close above the upper edge of the red ribbon. 5. If the bullish red ribbon tightens and a bearish yellow candle prints at the same time, it is typically a temporary topping signal. Short-term traders should consider trimming or exiting. TSLA daily update The most recent volatility hole formed when TSLA traded at $301. That was the early bottoming signal. Since then, daily candles have printed higher highs and higher lows, and whale accumulation has risen steadily to 16.35%, in line with the current uptrend. Price is currently filling the July 23 gap between $342 and $372. Once that zone is cleared, the next resistance levels sit at the momentum bars of $380, $405, and $411 respectively. I update TSLA for my community every day. I do not give wild target prices. Nothing moves straight up, and no one owns a crystal ball. Simply follow my signals to buy/sell. https://t.co/MGYOUqCmR6

$TSLA (September 2, 2026-Daily Chart) How to read my chart more accurately? 1. A volatility hole together with a descending blue ribbon is an early bottoming signal. Weaker stocks usually need two or three of these holes; stronger names often need only one. 2. After this reliable indicator, price typically enters a choppy consolidation. Both red and yellow candles appear. This is the phase where whales shake out weaker retail holders. 3. When the descending blue ribbon (downtrend) begins to tighten, it often marks the start of a new uptrend. That uptrend is confirmed by the appearance of the bullish red ribbon or a trend reversal red candle. 4. On volatile names, red and yellow candles can keep alternating. That does not break the trend as long as candles close above the upper edge of the red ribbon. 5. If the bullish red ribbon tightens and a bearish yellow candle prints at the same time, it is typically a temporary topping signal. Short-term traders should consider trimming or exiting. TSLA daily update The most recent volatility hole formed when TSLA traded at $301. That was the early bottoming signal. Since then, daily candles have printed higher highs and higher lows, and whale accumulation has risen steadily to 16.35%, in line with the current uptrend. Price is currently filling the July 23 gap between $342 and $372. Once that zone is cleared, the next resistance levels sit at the momentum bars of $380, $405, and $411 respectively. I update TSLA for my community every day. I do not give wild target prices. Nothing moves straight up, and no one owns a crystal ball. Simply follow my signals to buy/sell. https://t.co/MGYOUqCmR6

$TSLA September Seasonality 📊 Average historical return: +4.9% Recent years have been explosive:
• 2024: +24.2%
• 2025: +35.0% Earlier years were mixed (some red, some modest green). Not financial advice. Historical month-end returns. Past performance ≠ future results. https://t.co/7TNz5nyHB8

Bet against the crowd. That’s where the real money is. (August 27, 2026) The most hated companies often deliver the biggest gains. 1. $TSLA — the most hated stock of the 2010s. From its split-adjusted low of ~$1.52 in 2012 → up ~22,650%. 2. $PLTR — the most hated stock now. From $5.83 → ~$177.50 today = ~2,945% gain. 3. $AMD — another deeply hated name in 2025. From its recent cycle low of $76 → ~$481 today = ~533% gain. Hate is often a signal. The crowd is frequently wrong at the extremes!

The 15x that only happened because I ignored the crowd (August 27, 2026) The crowd spent years telling me to dump every share of $NVDA and rotate into $TSLA. I ignored it. That refusal was not stubbornness for its own sake; it was the same contrarian instinct that earlier forced me to cut a losing position in $TSLA and put everything into $NVDA at $15.20 in January 2023. Without that single, uncomfortable reallocation, the 15x would never have happened. Conviction matters, but conviction without the nerve to make a life-altering move is just an opinion. Apply the same multiple to $TSLA and the stock would be sitting near $4,800 today. I am not trashing on $TSLA. I still own it, just not in the size I hold $NVDA, and I hope it eventually rips. The real lesson is simpler: if you never step off the well-worn path the crowd is shouting about, the outsized gain never finds you! @cantonmeow @blondebroker1 @matthughes13 @Hiteshp99 @starship_ride @chad_ventures @gabz_investing @redfoxryder @sheslee @tonylee80

Sometimes when people say “I bet big on stock A or B,” I wonder what “big” actually means—everyone seems to have a different standard. My father once told me an uncle had bet quite heavily on $TSLA and $GOOGL. Later I discovered he only held 400 shares for both, which is insignificant by most measures. Even though I own 24,888 shares of $AMD, I still consider it a modest position rather than a big bet. What’s your definition of betting big on a stock in terms of money?

$TSLA (August 22, 2026-Daily Chart Update) Volatility Hole combined with the blue ribbon is one of the most reliable signals for timing market bottoms. Once again, it delivered perfectly on $TSLA in late July, 2026, accurately marking the recent low while many on X were still calling for a drop to $200. Since that bottom, momentum has steadily built, clearly reflected in the consistent rise in whale accumulation shown in panel 3. Right now, $TSLA is filling the gap from July 23. Once that gap is closed, the next key resistance levels sit at the momentum bars of $380 and $405. $TSLA is not one of my top five core holdings. I have stronger, more bullish tickers in my portfolio that I’ve already shared with my Patreon and X community. That said, I still chart $TSLA every single day without fail and keep my community fully updated. Follow reliable and genuine people who deliver accurate, consistent signals. Ignore the permabears. They’ll only damage your portfolio and cause you to miss a long-term uptrend that still has years left to run. @cantonmeow @blondebroker1 @niker8202 @tonylee80 @sheslee @Hiteshp99 @chad_ventures @C4orCalvin @starship_ride @gabz_investing

RT @dannycheng2022: 8 Persistent Myths That Keep Retail Investors Poor (While the Smart Money Gets Richer) After 15+ years in the markets and watching thousands of retail accounts, most retail traders lose money not because they’re stupid, but because they believe myths that are the exact opposite of how real wealth is built. Here are the 8 biggest ones — and the truths that actually make people rich. Myth 1: “I just need to find the next 100× small-cap rocket” Reality: True market-beating wealth is almost always made by owning the undisputed leaders of each cycle, not by gambling on unknown micro-caps hoping for an overnight moonshot. In every bull market, a handful of industry leaders capture 80-90% of the gains. The rest fight for scraps. $NVDA, $TSLA, $AAPL, $MSFT, $GOOGL, $META, , —these names dominate their sectors and ride the narrative waves for years. Small stocks might give you a quick 5×, but they also give you permanent loss of capital 9 times out of 10. Stick to the kings and queens. Let the leaders do the heavy lifting. Myth 2: “When the market drops 10-50%, I must sell or stop buying” Reality: The biggest opportunities are handed to you on a silver platter during drawdowns. Whales accumulate aggressively when retail panics.Remember these dates? April -May 2024 July–August 2024 April 2025 November 2025 Retail was selling in panic, succumbing to market noises telling us the start of Great Depression and the end of the bull market this cycle. Smart money was buying hand over fist. In fact, true wealth is created in bear markets and drawdowns, not in euphoria. The bull market just reveals the wealth that was quietly built when nobody wanted to buy. Myth 3: “Diversification is king " Reality: You only need to focus on 5-10 world-class leaders in the 3-4 sectors driving the current cycle. Concentrated bets on the right narrative crush shotgun diversification. The people who went “all in” (responsibly concentrated, not all-or-nothing) on the right themes made life-changing money. The people with too many positions made market returns or less. Concentrated bets on the right narrative > shotgun diversification. Myth 4: “The more I trade, the richer I’ll get” Reality: The wealthiest investors I know barely trade at all—and the greatest example of all is Warren Buffett. He’s worth $140B+ holding Coca-Cola, AmEx, and Apple for decades while barely trading. The wealthiest investors on earth treat the market like owning pieces of great businesses, not like a video game. They buy exceptional companies, add on weakness, and let time and compounding do the work. Frequent trading is just a hidden tax on your future wealth. Myth 5: “Options are the fast lane to millions" Reality: In 15 years I have never seen a single client build tens or hundreds of millions consistently with options. Zero. I have seen many who started with $1-3M, ignored options, and turned it into $20-100M+ by simply owning great stocks for a decade. Slow beats exciting every time. Myth 6: “If it’s trending on X or in the headlines, I have to buy now" Reality: By the time something is screaming across headlines and social media, the easy money has already been made. Headlines are lagging indicators. Noise on X is intentionally juicy because it drives clicks, volume, and liquidity for institutions to distribute or accumulate quietly. If everyone is talking about it, you’re the exit liquidity. Myth 7: “I need to follow the right guru who can time the exact top and bottom” Reality: Nobody—no one—consistently times the market 100% accurately or perfectly. Not Cathie Wood, not Michalel Burry, not Tom Lee. not your favorite X account with the rocket emojis. Even the best have spectacular wins and painful losses. The difference between them and the crowd? They have an edge, a process, and the emotional control to stick to it when they’re wrong half the time. Stop looking for the perfect entry and exit. Start looking for the highest-quality businesses you can own for the next decade. Myth 8 “I can supercharge my returns with 2× or 3× leveraged ETFs like TSLL, CONL, NVDL, SOXL" Reality: These products are mathematically engineered to destroy retail capital over anything longer than a few weeks or months—and most holders don’t even understand why. They are not designed for all retail to win. Final Thought The stock market is the greatest wealth-creation machine ever invented — but only if you stop playing it like a casino. Do less. Own better assets. Wait longer. That’s how quiet millionaires and billionaires are actually made! @cantonmeow @matthughes13 @gabz_investing @sheslee @tonylee80 @Nagetheworld @chad_ventures @Hiteshp99

Still waiting for $TSLA to crash to $250… $PLTR to $60… $MU to $500… $NVDA to $120? That’s what most of the “gurus” were screaming last month and this month. My charts are more reliable than their predictions. Follow for the real levels — not the fear porn!

RT @dannycheng2022: 20+ Years in Finance: The Brutal Truths Almost Nobody Will Tell You (July 14, 2026) Having spent more than two decades in the financial industry, here are my honest observations: 1. No one has a crystal ball. The most common question I hear is “When is the best time to buy or sell?” My advice is simple: When a stock is in a clear long-term uptrend, be a little greedy near strong support levels and become more cautious as it approaches major resistance levels. Timing the absolute top or bottom is nearly impossible—focus instead on managing risk around key technical zones. 2. Stop asking everyone for opinions. Many retail investors seek advice from their parents, friends, multiple Discords, Telegram groups, and forums. If you feel the need to do this constantly, the stock market may not be suitable for you. The more voices you listen to, the more confused you become. Quit the market as soon as possible if you want approval or confirmation from others! True edge comes from independent analysis. Even professionals at top-tier private banks rarely deliver exceptional, personalized advice—most are essentially retail-level in their market insights. 3. Over-diversification and equal weighting won’t make you outperform. Spreading money across dozens of stocks with roughly equal weights might feel safe, but it is not the path to superior returns. Proper diversification is important, but real outperformance comes from building a concentrated portfolio of high-conviction winners. Spend the necessary time and effort to deeply understand a smaller number of companies you truly believe in and bet bigger! 4. Private banks are not the holy grail of advice. Many assume that joining the best private banks will give them superior financial guidance. In my experience, this is rarely true. Most relationship managers are mediocre at best and function primarily as salespeople pushing bank products. The only real meaningful advantage is access to better margin rates and financing terms. 5. More fundamental research does not guarantee victory. Most retail investors believe that the harder they dig into fundamentals, the more likely they are to outperform. But institutions (“whales”) have dedicated research teams, superior resources, and much fresher data. By the time information and data reaches retail investors, it is usually outdated. Instead of trying to out-research players with far better tools, consider following institutional money flow for stronger and better insights. 6. Dividend stocks are not automatic safe havens. Many retail investors chase high-dividend stocks believing they are “safe.” In reality, companies often pay generous dividends precisely because they lack a strong parabolic growth story. You receive steady income, but your capital is unlikely to deliver 2x or 3x returns. High-quality growth stocks can achieve those multiples over a market cycle. Time has an opportunity cost. In a bear market, no stock is exempt. Almost every stock will fall, regardless of how strong the company is! 7. Target prices are mostly clickbait. Retail investors love asking “What’s your price target?” The truth is, nobody knows. Even prominent voices like Cathie Wood and Tom Lee have missed badly in $TSLA, Bitcoin and Ethereum despite having far more data, connections, and market access. Stop chasing silly targets. Ride institutional momentum instead. When you’re up 2x or 3x, trim 10–20% and let the rest compound if the uptrend remains intact. 8. Never believe anyone who claims they can “retire you” or help you recover. Retirement is highly personal and varies greatly by country and lifestyle. As a rough guide, achieving a better-than-average retirement requires roughly US$10 million in the United States and US$15 million+ in high-cost cities like Hong Kong, Singapore, or Seoul. Retirement comes from meaningful portfolio size, not from owning a few hundred or thousand shares of TSLA, NVDA, META, or GOOGL. Most people you see on X shouting big calls do not even have decent-sized portfolios themselves. If they cannot retire themselves, how can they retire you? What you can do is follow their technical analysis (TA) for ideas, but always make your own decisions and manage your own risks. 9.Technical Analysis (TA) is probabilistic, never deterministic. No indicator, no chart pattern, and no trading system in the world is flawless. Every setup has a probability of success — sometimes 85%, sometimes 65%, sometimes 40% — but never 100%. If any method were truly deterministic, we would all be filthy rich. Accept this truth and use TA only as a helpful reference tool to improve your odds — never as something that will always work. Relying on it as a sure thing is one of the fastest ways to lose money. Conclusion: The stock market rewards discipline, patience, and independent thinking far more than perfect predictions or following the crowd. There are no shortcuts. Focus on managing risk, riding real momentum, and building a portfolio over the next 3–10 years that is large enough to deliver true financial freedom. Your biggest edge is trusting your own process instead of endlessly searching for someone else’s crystal ball!

Unitree (688836) is now public. And is valued at ~$53.3B, after rising +492.18% We finally have a major public company benchmark for humanoids. For reference, Agility (backed by $NVDA, $AMZN) via $CCXI is expected to go public at $2.5B premoney valuation Q4. $TSLA is $1T+, but Optimus is wrapped inside a much larger company. But I think Unitree showed that the demand for pure play humanoid players is much larger… than people expected in public markets.

$TSLA (August 18, 2026-Daily Chart Update) Trend Analysis: The last volatility hole marked the recent bottom — precisely when most gurus on X were insisting TSLA would crash toward the $250 range. Since that reliable signal flashed bullish, the stock has been steadily regaining momentum, supported by small but consistent whale accumulation now sitting at 11.5% in Panel 3. Near-term support remains firm at the $290, $310, and $320 levels. Overhead, the gap left on July 23 between $342 and $372 currently acts as near-term resistance. Once that zone is cleared, the momentum bars at $380, $392, and $405 will come into play as the next mid-term resistance levels. Dr Cat' Video Insights: (Must Watch) https://t.co/zk5cJhPc3P @cantonmeow

I think @elonmusk said it best: “Robots don’t all need to be humanoid. But a general-purpose robot intended to replace human labor should fit the world humans already built. Roger, roger.” Personally, I expect $TSLA Optimus form factor to converge to the right image. https://t.co/il7tND3n59

$TSLL (July 27, 2026-Weekly Chart) Holding regular shares (like $TSLA) is fine because the underlying company has a real chance of recovery or growth over time. Holding leveraged products like $TSLL is different and generally not advisable for extended periods. Here’s why: $TSLL is a 2x daily leveraged ETF that aims for twice the daily performance of Tesla. It resets every day. Over multiple days or weeks, compounding + volatility decay often causes the leveraged ETF to underperform (sometimes severely) even if the underlying stock eventually recovers. It’s built for short-term tactical trades, not “buy and hold.” Technical view on $TSLL On the weekly chart, $TSLL continues to form lower highs and lower lows, a clear downtrend without any doubt. This is being accompanied by a sharp drop in whale accumulation, suggesting large players are reducing exposure rather than adding on dips for now. Key levels this week: If $TSLL fails to hold the critical support zone near $7, the next meaningful support sits in the $6.00–$6.20 area.

Dr Cat @cantonmeow will update his $TSLA video this week for our community. At the same time, in my weekly insights I’ll share an attractive range for buying or accumulating $TSLA and explain why. Stay tuned.

People laughed at me in 2022 when I sold $TSLA at a loss right before the split and rotated that capital into my highest-conviction names — $NVDA at $15.20 and $PLTR at $8.90 in 2023. Sometimes one decisive move truly changes the trajectory of your portfolio, and it wasn’t luck. It came from the technical analysis and fundamental work I put in. I’m not here to shame any long-term Tesla holders — I still hold $TSLA in my long-term portfolio with an average cost well below $162 (the screenshot attached). This weekend’s feed is full of bears hoping $AMD crashes to $150. Nothing is impossible in this market, and the louder the bearish chorus gets, the more interesting (and potentially opportunistic) it becomes.

From 2023 to 2024, I shared how I had sold my $TSLA position at a big loss to rotate into $NVDA and $PLTR. At the time, many $TSLA bulls pushed back hard — some even blocked me. Fast forward three years, and $TSLA remains largely range-bound. I'm not here to declare who's right or wrong. Every investor has their own convictions, and that's fine. What I’ve learned is to say no to both permabulls and permabears. You gain nothing from either extreme. At the end of the day, making money in the market is what matters — and life is too short to sit around waiting for a stock to finally move. For full transparency, I still hold some $TSLA in my portfolio and sincerely hope it moves higher one day. That said, the position is nowhere near large enough to crack my Top 5 holdings. Markets keep evolving, opportunities shift, and staying flexible has served me well so far.

Just some notes from $TSLA transcripts: Elon Musk: "I think Optimus will be the biggest product ever" from Q2 earnings transcripts. Even from Q1, Elon Stated: "I think Optimus will be our biggest product. Not just Tesla's biggest product ever, but probably the biggest product ever. And I remain convinced of that conclusion". It's very rare to see such high conviction reiterated from Elon regarding humanoids both directionally and TAM-wise. In terms of upstream suppliers opportunities, Karn Budhiraj, VP of $TSLA supply chains stated: "We’re seeing the same level of investment going to memory and also new specific items like metal injection molded parts, flexible printed circuits, and all sorts of nonlinear technologies..." And that they had to build new supply chains from scratch. So would be interesting to look at for new supply chain supplier opportunities apart from the known ones. Just pulled older slides and it looks like capacity targets for Fremont are 1M and Giga Texas was 10M, so at scale, $TSLA seems to be the clear US leader. If you're looking at that S-Curve opportunity ramp. On a side note, Elon also gave a shoutout to $MU with likely reasonably priced LTAs, given his statement: "We really appreciate Micron making room for Tesla in the years to come and giving us actually a very significant allocation on reasonable terms given the pretty insane pricing of memory these days." (Just for structural memory demand). Elon also gave a shoutout to Panasonic which had invested many billions in increasing battery cell production (will need to do deeper DD into Panasonic after this), then Samsung and $TSM. Just takeaways from Tesla earnings TLDR: Elon tends to be directionally correct on where the future is heading, such as with EV or Space. He seems extremely bullish on humanoids.

$TSLA (July 18, 2026-weekly chart update) Volatility holes have consistently marked each tops and bottoms across previous market cycles. Currently, $TSLA remains trapped within the price range defined by the most recent volatility hole. The precise price boundaries of this volatility hole have been shared with the community. For a comprehensive analysis of $TSLA from multiple perspectives, I recommend watching Dr. Cat’s @cantonmeow upcoming video on the stock, which will be posted soon.

My Contrarian Path to Generational Wealth (July 17 2026) In 2022, I sold all my $TSLA shares around $300–$307 (post-split) at a significant loss. At the time, I also didn’t believe Cathie Wood’s bold prediction that it would reach $1,000 in 2025. I later bought back $TSLA below $170 in 2024. Looking back, I now consider that whole experience lucky. In January 2023, I redeployed capital into $NVDA and began building a strong position while most investors were warning me it was the wrong stock to own. I got lucky the second time. By May–June 2023, I aggressively accumulated $PLTR around $8.80 after lots of conversations with Lee @sheslee. I still remember the crowd dismissed it as just another meme stock. I got super lucky the third time. In May 2025, I started a large position in $AMD at $110, even as some mocked me for not buying at $76, the cycle bottom. I got lucky the fourth time. The common thread is this: when the majority has been proven wrong, I’ve chosen to believe in my own long-term thesis. I’m not in the market to chase quick profits like most retail investors — I’m here to build generational wealth! That’s why I initiate strong positions, keep adding on the way up, and double down when my indicators turn bullish. Today, $NVDA, $PLTR, and $AMD are my top three holdings. Many still call my success “luck” and downplay the effort, but I’ve come to appreciate these skeptics. Their doubt has become my favorite contrarian signal. Without them, I wouldn’t be where I am today. So, strangely enough, I’m grateful to them.

No Hype. No Fear. Just Honest Charts. (July 16, 2026) I don’t post permabear doom scenarios to scare people or chase attention — most of them have been wrong since 2022 anyway. I refuse to pump ridiculous price targets like many influencers do ($TSLA to $3,000, Bitcoin to $1M, Ethereum to $40,000). We all know those calls won’t happen this cycle, and I’m not here to buy followers with hype. Instead, I share honest, objective chart analysis. I highlight both the bullish and bearish signals with equal clarity — no sugarcoating, no fear-mongering. I never give financial advice, promise to “retire” you, or act like a scammer. I don’t need your money because I make the most part of my money in the stock market and properties. And unlike 99.9% of the big accounts here, I don’t flip-flop to always look right. Being wrong is part of the process. I don’t need to be correct every day — I just need to be right over time. If you’re tired of extreme narratives and want balanced, no-BS technical analysis, you’re in the right place. Follow along for real chart work — the good, the bad, and the uncertain.

20+ Years in Finance: The Brutal Truths Almost Nobody Will Tell You (July 14, 2026) Having spent more than two decades in the financial industry, here are my honest observations: 1. No one has a crystal ball. The most common question I hear is “When is the best time to buy or sell?” My advice is simple: When a stock is in a clear long-term uptrend, be a little greedy near strong support levels and become more cautious as it approaches major resistance levels. Timing the absolute top or bottom is nearly impossible—focus instead on managing risk around key technical zones. 2. Stop asking everyone for opinions. Many retail investors seek advice from their parents, friends, multiple Discords, Telegram groups, and forums. If you feel the need to do this constantly, the stock market may not be suitable for you. The more voices you listen to, the more confused you become. Quit the market as soon as possible if you want approval or confirmation from others! True edge comes from independent analysis. Even professionals at top-tier private banks rarely deliver exceptional, personalized advice—most are essentially retail-level in their market insights. 3. Over-diversification and equal weighting won’t make you outperform. Spreading money across dozens of stocks with roughly equal weights might feel safe, but it is not the path to superior returns. Proper diversification is important, but real outperformance comes from building a concentrated portfolio of high-conviction winners. Spend the necessary time and effort to deeply understand a smaller number of companies you truly believe in and bet bigger! 4. Private banks are not the holy grail of advice. Many assume that joining the best private banks will give them superior financial guidance. In my experience, this is rarely true. Most relationship managers are mediocre at best and function primarily as salespeople pushing bank products. The only real meaningful advantage is access to better margin rates and financing terms. 5. More fundamental research does not guarantee victory. Most retail investors believe that the harder they dig into fundamentals, the more likely they are to outperform. But institutions (“whales”) have dedicated research teams, superior resources, and much fresher data. By the time information and data reaches retail investors, it is usually outdated. Instead of trying to out-research players with far better tools, consider following institutional money flow for stronger and better insights. 6. Dividend stocks are not automatic safe havens. Many retail investors chase high-dividend stocks believing they are “safe.” In reality, companies often pay generous dividends precisely because they lack a strong parabolic growth story. You receive steady income, but your capital is unlikely to deliver 2x or 3x returns. High-quality growth stocks can achieve those multiples over a market cycle. Time has an opportunity cost. In a bear market, no stock is exempt. Almost every stock will fall, regardless of how strong the company is! 7. Target prices are mostly clickbait. Retail investors love asking “What’s your price target?” The truth is, nobody knows. Even prominent voices like Cathie Wood and Tom Lee have missed badly in $TSLA, Bitcoin and Ethereum despite having far more data, connections, and market access. Stop chasing silly targets. Ride institutional momentum instead. When you’re up 2x or 3x, trim 10–20% and let the rest compound if the uptrend remains intact. 8. Never believe anyone who claims they can “retire you” or help you recover. Retirement is highly personal and varies greatly by country and lifestyle. As a rough guide, achieving a better-than-average retirement requires roughly US$10 million in the United States and US$15 million+ in high-cost cities like Hong Kong, Singapore, or Seoul. Retirement comes from meaningful portfolio size, not from owning a few hundred or thousand shares of TSLA, NVDA, META, or GOOGL. Most people you see on X shouting big calls do not even have decent-sized portfolios themselves. If they cannot retire themselves, how can they retire you? What you can do is follow their technical analysis (TA) for ideas, but always make your own decisions and manage your own risks. 9.Technical Analysis (TA) is probabilistic, never deterministic. No indicator, no chart pattern, and no trading system in the world is flawless. Every setup has a probability of success — sometimes 85%, sometimes 65%, sometimes 40% — but never 100%. If any method were truly deterministic, we would all be filthy rich. Accept this truth and use TA only as a helpful reference tool to improve your odds — never as something that will always work. Relying on it as a sure thing is one of the fastest ways to lose money. Conclusion: The stock market rewards discipline, patience, and independent thinking far more than perfect predictions or following the crowd. There are no shortcuts. Focus on managing risk, riding real momentum, and building a portfolio over the next 3–10 years that is large enough to deliver true financial freedom. Your biggest edge is trusting your own process instead of endlessly searching for someone else’s crystal ball!

Just a semi recap TLDR: - $GLW glass bridge per Morgan Stanley has potential, but hard to displace FAU (like FOCI) in short term - $SPCX Starlink Gen 3 is scaling to 100,000 units (10x prev gen) creating possible capacity constraints for suppliers of switches to CCL. - PCB supply shortages are projected to persist until 2028, and component shortages/price hikes are already forcing ODMs like Inventec to issue conservative H2 shipment - DeepSeek and Zhipu are developing custom ASICs to bypass $NVDA (kinda expected by now). - Anthropic has achieved a $30B ARR and is projected to hit >$1B in Q3 profit. Turns out these frontier labs are more profitable than people think. - US admin pressured $AAPL to source from $INTC, in exchange for tariff exception. Kinda pressuring alignment away from TSM. - $TSM plans a 30x expansion of its Photonic Integrated Circuit (PIC) capacity by 2028, growing from 500 to 25,000 wafers per month - Hanmi Semiconductor is entering the CoWoS packaging equipment market - $NVDA and NTT hosting a conference July 24th to discuss CPO strategies. - 5x general NAND flash price hike this year, market size $489B by next year triggered by RAG/inference. Samsung and SK Hynix make emergency fab investments, NAND equipment suppliers go brrrr. - Gas turbine bottleneck, 40% supply gap accompanied by staggering 5-year delivery cycles (mega-fabs need them for mass production). - AI probe card assembly has hit a severe bottleneck apparently. Which is attempted to by solved with things like Innovation Service's machines. - Nanya, 79.5% gross margins reported, memory go brr. 4x capex for capacity/advanced packaging. - CXMT's STAR Market IPO on July 16, so should bring a lot of attention to memory players in that supply chain. - KYEC $1.4B investment into US for $TSM Arizona output test facilities. Lot of these players like $AMKR and others should go brr in 2028. - $INTC CEO warned last month that helium could hinder the manufacturing costs and delivery times of AI chips - 3D NAND word lines are shifting from Tungsten to Molybdenum starting at the 375-layer node - SambaNova secured JPM for AI inference and raised $1B at an $11B valuation. - HBM prices projections to double in 2027 as $NVDA Rubin platform drives demand. - $MU provides $500 million in funding to support GlobalWafers' US manufacturing capacity - $META 'Iris' will enter mass production in September via $AVGO and TSMC and Meta aims to double computing power to 14GW by 2027. - Largan Precision has secured its first CPO FAU order, mass production slated for middle of next year (kinda indication around Foci and others). - Samsung and SK Hynix have delayed the implementation of hybrid bonding packaging technology for HBM4 apparently - Memory costs (DRAM/NAND) have reached 60% of the BOM for sub-$400 smartphones, causing a severe volume contraction. - SK Hynix successfully rasied $26.5 billion through a Nasdaq ADR - $TSLA issued procurement guidelines requiring suppliers to reach weekly production of 1,000 units by September and double to 2,000-2,500 by year end for its 3rd gen Optimus robot. Apparently Alliance Technology and A-Link may be in this supply chain harmonic reducers and vision lenses? Kinda go through all this stuff every day, but don't wanna be a news reporter so just consolidated stuff I found interesting.

So there's a IBK Research report on Boston Dynamics value chains from last month. Just a summary: IBK maps these companies to Atlas as suppliers: - Hwashin (010690) / body, arms, legs - LG Energy (373220) / battery - Hyundai Autoever (307950) / integration - Hyundai Mobis (012330) / actuators As for humanoid volume ramps: They're modeling for, 11.29K in 2028, 20k 2029, 30k in 2030... 40k in 2031, and 50k in 2032. Not quite sure why IBK and other institutions are a fan of linearly modeling S-curve volume ramps... Like adding +10K per year, don't quite think it's volume ramp is going to work like that... if I had to guess it would look more like: - 15-20k 2028 - 40k-70k 2029 - 90k-140k for 2030 Since Boston Dynamics is projecting 30k capacity by 2028 (I'm sure they'd aim to get more online by 2029-2030), as China collectively is already doing 100k EOY in 2026. In terms of competitive landscape they name: - $TSLA, Figure, Apptronik, $CCXI (Agility), as US players. Then Boston Dynamics (Korea parent owned now) - Unitree, Fourier, AGibot, UBtech, $XPEV as the Chinese leaders. - Neura, Pal Robotics, Wandercraft, Oversonic, as the EU leaders. They also did quite a lot of valuation modeling around Hyundai Mobis/Hyundai Autoever/Glovis. Regarding the BD economic ownership from 27.9% from Hyundai Motor, 11.3% from Mobis, and 11.3% from Glovis. So at least institution are valuing humanoid segments inside companies lot more now. Then from report assumptions: - 31 actuators per Atlas - $1K per actuator in 2028 - $134K Atlas ASP, Which implies actuator cost of final selling price is roughly 23–28%. Probably the more interesting statement was IBK stated that actuator capacity is biggest signal for volume ramp. eg. every 310,000 units of actuator capacity supports 10,000 more robots. So tracking actuator outputs, yields, ASP is a cleaner read on 2028-2030 ramp. I didn't have much personal takeaways, but hopefully others find it interesting, maybe around Hwashin as a core supplier or around actuator capacity as an indicator.

"China is shipping ~90% of the world's humanoid robots. We cannot keep taking them lightly." Elon's comment: "For now" Meanwhile, 1X today posts a video of the most advanced humanoid hand. Looks like the inflection point for American humanoid programs is here? Both technologically with players like 1X and with mass production with $TSLA? I'm am personally long on Agility through $CCXI targeting commercialization with Amazon and others. But I'm proud to see American robotics as a whole go brrrr.

$TSLA Video Insights from Dr Cat (July 8, 2026) Sharing is always caring This week I’m excited to share a really insightful video from Dr. Cat @cantonmeow , where he combines my indicators with his own for a strong confluence of data from multiple angles. Together he broke down $TSLA’s mid-term trend with clarity and depth. Over the past two years, Dr. Cat has helped me create more than 900 videos. Thanks to his incredible work, our community keeps learning and filtering out all the market noise on X. Grateful for the journey and for all the good followers who ride with us. https://t.co/tvwIriJo8A

How is the US so far behind? Xinhua: China's output of humanoids are expected to hit 100,000+ this year. Even Morgan Stanley originally projected 14,000 for 2026... Really need Elon's $TSLA, $CCXI (Agility), Apptronik, and Figure to catchup. And for more US Gov. subsidies to pour into upstream supply chains + rare earths. Cause this disparity between US vs. China mass production is getting ridiculous... But it almost feels like the start of Russia/US Space race Sputnik Moment for robotics?

Came across an interesting report from SVRC Research called "State of Robotics 2026", published in April. Which listed: 1. Figure AI 2. Agility Robotics $CCXI 3. Apptronik 4. $TSLA 5. Boston Dynamics 6. Physical Intelligence 7. 1X Technologies 8. $AMZN Robotics 9. Covariant 10. Skild AI As the National Champions of the United States robotics program. "The United States leads the world in where robotics is heading: Fundation models, OpenAI-style scaling laws applied to action, autonomous vehicles. While losing the race on where robotics is shipping today." Then it frames: 1. Rare Earths Exposure: from Neodymium for motors to samarium-cobalt for high-temp applications as a critical vulnerability. 2. Actuator dependency. Series elastic actuators, quasi-direct-drive motors, and precision reducers overwhelmingly sourced from Japan, Germany, and China As one of the main vulnerabilities alongside Manufacturing velocity/data collection cost/regulations. Then their take was: "With at least six well-funded US humanoid companies competing for a market still in early formation, we expect at least two significant consolidation events (acquisition or merger) in 2027". With Logistics / E-commerce (like $AMZN / $FDX) and Automotive from $GM to $FORD as being the immediate top use cases for deployment. I think it's just interesting to see a lot of my points I've been talking about reiterated by research firms. Regardless, I do think it's going to be a major frontier race between the US and China. Agility Robotics (which I own), Tesla, Figure, and Apptronik as leaders representing the USA. Competing against Unitree, AGIbot, Ubtech, and others in China.

Agility Robotics is literally the #1 humanoid player in the US in terms of commercialization today imo. Personal Rankings: 1. Agility Robotics via $CCXI 2. $TSLA Optimus ($1T+ company) 3. Figure at $39B from 2025, likely higher now. With Tesla likely taking the lead a year from now. So at $16, you have a ~$4B MC pre-money humanoid player. Which is already inside $AMZN and $MELI (ideal use cases to start out, before step-functioning to general-use), with $AMZN, $NVDA, Softbank, Foxconn, and others as investors. NFA, but at those valuations... there's direct exposure for the first ever humanoid player today, that's likely further ahead than Figure for commercialization. No hard feelings about Robostrategy, but it's over 4x+ NAV: Which would value Figure at $156B... While there's the #1 commercialized humanoid player with Agility at $4B today. So my personal preference is $CCXI.

I just realized Boston Dynamics CEO shared the same sentiment: “Robotics is next. America’s next 250 years will be built by robots”. However, currently China accounts for 54%+ of all global robotics deployments. - calls for Internet scaleable database of physical world (kinda got reminded of Niantic that has a huge dataset from Pokemon Go) - dedicated National robotics strategy to compete against China’s leadership in this space - ISO + regulation for robotics safety This is all high level: But my prioritize thought process is how do we support and scale a Made in USA supply chain for robotics/humanoids? I’ve been hammering home rare earths for the longest time, that the US isn’t doing enough to subsidize or scale this industry. But another thing to take note is subsidies for components, forcing $TSLA and others to use Chinese suppliers over Western ones, even if assembly is done in USA… to keep costs down. Which is why I’ve liked Agility Robotics $CCXI since they source 75% of parts from the US, despite higher BOM to start out with. Regardless it’s pretty clear this Robotics is coming and becoming a national security priority: From the days of backflipping humanoid YT videos.

$TSLA (July 2, 2206-daily chart update) TSLA has formed a clear W-shaped bottom (double bottom), which I highlighted in Panel 1. The momentum bars at $380, $392, and $410 acted as the final reliable buy signals and have now flipped into support levels. A big move is likely once TSLA clears the key resistance zone at $453–$454. Congratulations to all $TSLA shareholders — including myself.

Just dropping these 3 slides from Agility Robotics ( $CCXI ) presentations. For the US robotic program doomposters: 1. “75% of parts” - sourced from the USA 2. Just eyeballing the graph, looks like <$30k BOM mass production. People were just looking at the ~$145K cost. 3. 10,000 RoboFab capacity, and they build in Salem/Pittsburgh/Fremont (USA). So looks like majority US supply chains with targets of <$30K mass production It does help they’re backed by $AMZN / SoftBank / Foxconn / $NVDA as investors to get this done. Just personal thoughts as a shareholder in $CCXI (NFA): My personal biggest fear were US humanoid leaders like $TSLA were just building out their entire supply chains in China. So US robotics could just be export controlled/halted down the road. eg. South China Morning Post: ‘Optimus chain’: Chinese suppliers form the backbone of Tesla’s humanoid robot initiative and engaged with hundreds of Chinese component suppliers. And that Western companies are not able to lower costs to a competitive level + are forced to use Chinese components. I'm still not sure how they're going to do it but if Agility can achieve those mass production targets with that BOM cost in the USA/West. It would be a great validation for Made in America US robotics programs. IMO the top 5 US humanoid programs right now in terms of commercialization potential are: 1. Tesla Optimus 2. Figure 3. Agility Robotics 4. Boston Dynamics (yeah KR parent) 5. Apptronik Tesla is a $1T+ company. Figure is private and valued around ~$39B. Owning Boston Dynamics through Hyundai is a bit messy. And I’d prefer not to invest in adversarial programs just as a personal preference. So I’ve been personally excited for Agility to be listed as early as September.

RT @dannycheng2022: $TSLA (July 1, 2026-weekly chart update) The most recent Volatility Hole has marked the bottom for $TSLA during the week of April 18, 2026, when the stock traded in the $350 range — mirroring the precise setup we saw in April 2025. Same pattern, same playbook! Once you recognize the script, the edge lies in patience and conviction. With strong momentum building, a consistent close above the upper boundary of the Volatility Hole this week would likely ignite the next leg higher. I will provide my weekly review this weekend!

My honest advice: Position sizing in the right stocks matters way more than catching the exact bottom. No influencer or content creator in the world can retire you. Even if you pick winners, tiny positions won’t move the needle. Owning 5,000 shares of $TSLA, $NVDA or $TSM still won’t be enough to retire comfortably in advanced countries in Asia or China! Size big when you’re right and keep buying during discounts — or stay small forever.

$TSLA (July 1, 2026-weekly chart update) The most recent Volatility Hole has marked the bottom for $TSLA during the week of April 18, 2026, when the stock traded in the $350 range — mirroring the precise setup we saw in April 2025. Same pattern, same playbook! Once you recognize the script, the edge lies in patience and conviction. With strong momentum building, a consistent close above the upper boundary of the Volatility Hole this week would likely ignite the next leg higher. I will provide my weekly review this weekend!

I wonder if humanoids is going to spark a new bottleneck/industry for robot cosmetics. Like a skin bottleneck. Or Aespa KPOP robot makeover as a service. So if $TSLA Optimus makes tens of millions of humanoids: Who’s going to make them all look hot?

RT @matthughes13: My $TSLA chart has been the cheat code since the 2023 bottom Every time price gets to the angle (blue circles) all I see are "what if support breaks" comments My answer is always the same. The trend is your friend https://t.co/2rcDwUe8A8

My $TSLA chart has been the cheat code since the 2023 bottom Every time price gets to the angle (blue circles) all I see are "what if support breaks" comments My answer is always the same. The trend is your friend https://t.co/2rcDwUe8A8

Honestly this decade from 2020-2030 might be the most goated in human history. - Scaling massive reusable rockets for orbital compute with $RKLB to $SPCX. - on the cusp of ASI and recursive learning with Anthropic and OpenAI - Backflipping Boston Dynamics and Unitree humanoids to replace the human workforce - Star Wars laser beams from $EOS.ASX to AI DC lasers like $LITE. - Waymo and $TSLA self driving cars everywhere in urban cities - and we get industry Quantum commercialization end of decade This is kinda crazy to be an investor in this timeframe. Feels like every movie from the Star Wars Death Star to Skynet is coming to life. What’s next?

Yup, Schaeffler $SHA0 is the ideal example for automotive players. ~ €7.47B MC auto player. - but also working with 45 humanoid players (extremely insane number, they do have €5.14b debt, EV is higher) - covers bearings, gearboxes, sensors/ECUs, actuators, power electronics. -ests. They can be roughly 50% BOM of a humanoid - targeting 10% market share of that. But only projecting a few hundred million revenue by 2030 (extremely sandbagged) if we’re using Elon’s projections for the market. Then’s theres auto players like Nabtesco (6268) for joints. And then Sanhua in China for $TSLA Optimus. Many of them are trade at lower valuations from drag from auto. But humanoids + AI Auto (TSM chairman cited this as a growth vector) should be a good catalyst past 2027 for automotive players. IMO there just needs to be a ChatGPT/Anthropic breakout downstream leader first for humanoids. That brings up the entire ecosystem that has robotics exposure. But as of now it’s probably like 1% of many of their overall revenue figures, and markets are focusing on immediate upside from bottlenecks like memory or MLCC. I’m sure we’ll see some random Toto-HBM type surprise as different humanoid architecture evolve.

Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.

Very interesting statement today: $MU CEO predicts a multi-decade memory demand cycle driven by humanoid robots. "Humanoid robots, he says, will require roughly ten times more memory than today’s Level 2+ autonomous vehicles." "And that demand wave is set to begin before the decade is out." Something as well as was "Over time, we expect the value of on-device AI combined with pent-up unit replacement demand to drive memory demand growth" Which is also another trend (Apple Intelligence is currently dog, but I'm sure we'll see innovations with localized/edge AI). Feels like all the industry leaders from $TSM Chairman, $TSLA Elon Musk, to $MU CEO see humanoids as the next major trend so physical AI is probably next. I wonder if the world is going to have enough memory. Or if we'll see enough breakthroughs to shrink memory usage.

Don't forget to check out Dr Cat's Video Insights on $TSLA. Written summary is provided at the end of the video!

Don’t quite think “siphoned off” is the correct term. It’s capex for massive revenue increase or margin increase down the line. $AMZN is probably my favorite hyperscaler right now and example to give. Amazon’s headcount is absurd, like ~1.57M. If the capex goes into automating their workforce with LLMs. Then transitioning into physical AI: - things from self driving (deliveries) - robotics (Amazon warehouses, shipping automation). + revenue increase from building out AWS compute with Trainium and possibly selling chips too with the Neocloud strat. It’s probably the clearest path forward compared to every hyperscaler out there. $TSLA optimus use case targets is extremely broad as a pitch, but Amazon already has a specific reason to scale robotics for internal opex optimization. As for $GOOGL, probably 2nd right now, AI capex was necessary for defending its Google Search moat Gemini from ChatGPT They also have Google Cloud revenue with efficient TPUs + can sell TPUs like Nvidia GPUs. Gemini user volumes keep going up (despite the lack of contention in frontier benchmarks); and AI strategy to be working for ad optimization too. But there’s less clear paths with physical AI stuff ig? Microsoft and Meta are still trying to convince the market why capex is necessary, (we’re kinda seeing that in effect with Meta’s 30%+ Y/Y revenue growth), but doesn’t look like they’re convinced. As for market narratives, Microsoft Maia seems to be behind, their AI development was stunted from OpenAi investments, so sentiment is kinda in the ground. But think that will change down the road like the 180 with Google. I’m sure all the hyperscalers are seeing the leader effect right now: If you have the leading LLM, people will keep using it. That LLM gets smarter from all the training data; and that gap might be structural. Which is why everyone is kinda rushing the buildout right now, but for some the immediate incentives seem obvious.

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I do think LeaderDrive (688017) is China's standout component leader in the robotics sector. I've done a lot of research on other robotics picks / $TSLA Optimus suppliers, but LeaderDrive is extremely unique. Compared to others doing lower margin assembly, or lower value components, with higher design out risk. Western institutions like Goldman Sachs Research flags LeaderDrive many times: -> As a company with high technology barriers (eg. harmonic reduction gear). -> and likely capturing high component value costs like planetary roller screws of each humanoid produced. In simpler terms with LeaderDrive, you cover: 1. Many different components, with high barrier to entry 2. High BOM of each humanoid made, if you combine them together 3. Mass production capability at low cost. For each humanoid made. Please do your research on this topic before making your own decision; but long-term if you believe in humanoid sector growth: I think LeaderDrive (688017) is very compelling. Risk is mainly coming from other emerging Chinese companies taking over market share of different individual components. As well as mass-production margins decreasing over time; as seen with $VPG going from $750 (for early stage pre-production) -> $150 for sensors. But in general, I don't believe companies outside China like Harmonic Drive (6324) can achieve the same costs for mass production, which is why $TSLA Optimus is creating extensive supply chains from China. So we'll likely see supply chains be bifurcated with cheap mass production $15k-20K humanoids from Chinese supply chains. And higher cost humanoids from Western supply chains. Again if you look at current P/E ratios and say it's high; a lot of it is misunderstanding comes from not looking at forward growth: Nothing has been mass produced yet. AGIbot has recently achieved 10k units produced back in March. But in the next 3-5 years, the TAM of the humanoid/robotics sector forecasted by Elon Musk and others very large, if he's expecting millions of humanoids to be produced a year. So my expectation is the current $10.65B MC would look very tiny in hindsight of LeaderDrive's market capture of the overall robotics market. So I don't believe thesis like this should be measured in short term timeframes (or that people should actively trade names like these). Moreso a long term investment idea about how this company could capture a material part of the overall humanoid market that exponentially grows over the next few years.