Michael Fritzell (Asian Century Stocks)
RT @AstutexAi: Expect to see more of this - the analog renaissance is just starting. Less social media, less online presence, more real-life interactions, real-time experiences and real assets https://t.co/B9BFtTghkJ

Analog Renaissance is a major trend, and watches are just the tip of the iceberg. Offline is the new luxury. Hobby Lobby and Michaels consistently hit Placer 100 top spots. As we enter the "AI slop" age, people are cutting social media - and minor bans are a logical next step. Nitin already picked some of ideas that fit well - Hobonichi 3560.T Tonies $TNIE MTG $HAS, few others are Games Workshop $GAW Fujifilm 4901.T Scholastic $SCHL, Asmodee $ASMDEEb Mattel $MAT Kokuyo Co. 7984.T - Dmitry Baulin
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Benjamin Hernandez😎
$ADI $380 TARGET ACTIVE! 🔹

Analog Devices +7.55% breakout. Nested Bullish ABC active. Institutions loading at $337. Can you see the Wave 3 terminal count? It’s coiling.

Follow to track the Wave.
Wave 3 entry timing & roadmap for FREE in pinned.
$SOC $ASST $OPEN $RADX $PULM https://t.co/g2LB3y6N99
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Moon Dev
Code Is the Equalizer: Building a $20k/Day Pseudo-Bot Without the Dev Costs

building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep

most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make

the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again

the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low

most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order

this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit

the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business

breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app

i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a com[...]

bination of these basic building blocks that i have refined over the last five years of building in public

if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital

the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to

i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future
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Jukan
I've been building a bull case for Meta lately. This is a casual memo — would love to hear your thoughts.

---------------------------------
Meta: An Underappreciated AI Platform Strategy (Memo)

-----## 1. Does Meta Really Need the Best LLM?ByteDance’s Doubao offers a telling precedent. Despite not being China’s most powerful model, Doubao leads the Chinese AI chatbot market with 170M MAU — far ahead of DeepSeek (72M) and Tencent’s Yuanbao (73M). The edge isn’t model performance but platform integration — ByteDance embedded AI across its entire ecosystem: Douyin, Jianying, Ola Friend, and even a ZTE Nubia AI-native phone.
Meta could become the Western ByteDance. Facebook, Instagram, WhatsApp, and Messenger combined reach ~4B MAU. Layer even a “good enough” AI on top of that, and Meta holds an overwhelming advantage in mass-market agent AI deployment.
To be clear, Meta hasn’t abandoned the frontier model race. It hired Scale AI’s Alexandr Wang for ~$14.3B and is developing “Avocado,” a proprietary next-gen model targeting H1 2026 release (reportedly achieving 10x+ compute efficiency vs. Llama 4). But even if Avocado falls short of the latest models from OpenAI or Anthropic, Meta’s AI strategy doesn’t fail. Platform-level utilization may matter more than benchmarks.

-----## 2. AI Hardware: Narrative vs. Results
Market attention is fixated on OpenAI’s hardware play (Jony Ive’s io acquisition for $6.4B, Foxconn partnership), but the AI hardware that’s actually selling is Meta’s Ray-Ban smart glasses.
- Ray-Ban Meta: 2M+ cumulative units sold; Q2 2025 sales tripled QoQ
- Ray-Ban Display ($799): US demand exceeded supply → UK, France, Italy, Canada launches postponed; waitlists extend through end of 2026
- EssilorLuxottica reviewing capacity expansion from 10M to 20–30M units/year (Bloomberg)
- All this demand before Avocado (next-gen LLM) has even been integrated

Meanwhile, OpenAI hardware remains at prototype stage; court filings indicate customer shipments delayed to post-February 2027.The key differentiator: Meta’s partnership with EssilorLuxottica — the world’s largest eyewear company — secured a form factor people actually wear in public. Compare this to Google Glass, which failed largely on social acceptability. The Ray-Ban brand itself is a moat.

-----## 3. Ad CPM Upside Potential
Per The Information: OpenAI is pricing ChatGPT ads at ~$60 CPM — roughly 3x Meta’s average of $10–20. OpenAI’s rationale: a “high-intent” environment commands a premium.
But OpenAI still lacks basic ad infrastructure (only high-level metrics like total impressions/clicks; no conversion tracking; $200K minimum commitment). Meta’s decades of precision targeting and conversion attribution remain assets OpenAI simply doesn’t have.
Add AI-driven hyper-personalization → contextual awareness, real-time interest signals, purchase-journey stage optimization → meaningful room to push current $10–20 CPMs higher.
Even without reaching $60, a move to the $30–40 range would be transformative against Meta’s ~$160B annual ad revenue base — potentially unlocking tens of billions in incremental revenue. Ray-Ban glasses could also emerge as an entirely new ad channel via location-based AI ads and gaze-tracking engagement metrics.

$META
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The Transcript
Moody's CEO: "Our 2025 results demonstrate the tremendous demand for Moody’s solutions..."

$MCO: +3% Pre-Market https://t.co/5Fe4Kr0QSI
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Jukan
[Exclusive] Jensen Huang: "Show Me Greatness" … SK Hynix HBM4 Supply to NVIDIA Imminent

The guests of honor at a dinner held on the evening of February 14 at '99 Chicken,' a Korean fried chicken restaurant near NVIDIA's headquarters in Santa Clara, were SK Hynix's High Bandwidth Memory (HBM) engineers. NVIDIA CEO Jensen Huang arrived around 5:20 PM and spent roughly two hours going table to table, mixing "somaek" (soju-beer cocktails) for the 30-plus SK Hynix and NVIDIA engineers in attendance. Huang repeatedly told them "we are one team" and "I'm proud of you," expressing his gratitude. He also urged them to "deliver extraordinary results through relentless challenge and effort" in connection with the HBM4 (6th generation) that SK Hynix has committed to supply.

◇ The HBM4 Jensen Huang Is Waiting For

The semiconductor industry views it as highly unusual for Huang to personally host a dinner for a partner's engineers. The dinner was arranged on short notice after Huang instructed NVIDIA employees last week to "organize a dinner to encourage SK Hynix's HBM engineers." This underscores just how critical SK Hynix's HBM4 is to NVIDIA's future.

SK Hynix formally joined NVIDIA's supply chain in July 2020 with HBM2E (3rd generation) shipments. It went on to serve as the de facto sole supplier for HBM3 (4th gen) and HBM3E (5th gen), forging a relationship so tight alongside TSMC that the trio became known as the "AI semiconductor triple alliance."

HBM4 is regarded as the key component that will determine the performance of NVIDIA's next-generation AI accelerator "Vera Rubin," slated for the second half of this year. HBM4 is a high-performance DRAM module made by stacking 12 advanced DRAM dies, responsible for feeding massive volumes of data in a timely manner to the GPU that handles computation inside AI accelerators like Vera Rubin. NVIDIA has demanded HBM4 suppliers deliver operating speeds of "11 gigabits per second (Gbps) or higher" and "bandwidth of 3.0 terabytes per second (TB/s) or more" — specifications exceeding by over 30% what competitors like AMD require for their HBM4. In other words, NVIDIA has positioned HBM4 as Vera Rubin's key differentiator.

◇ "The Timeline Is Tight, but Show Me Greatness"

Unlike HBM3E, which was essentially SK Hynix's one-man show, HBM4 — whose market opens in earnest in the second half — presents a different competitive landscape. Samsung Electronics shipped its first official HBM4 product to NVIDIA on February 12, an industry first, featuring operating speeds of 11.7 Gbps (up to 13 Gbps) and bandwidth of 3.3 TB/s.

SK Hynix has secured HBM4 performance of 11.7 Gbps or above and is currently mass-supplying paid samples to NVIDIA while carrying out performance optimization work. The industry expects SK Hynix to receive NVIDIA's official "go for mass supply" sign-off in the near term.

At the dinner, Huang urged SK Hynix engineers to "deliver top-performing HBM4 without any delays." In a closing toast just before the dinner ended, he said: "AI accelerators and HBM4 represent remarkable, extraordinary, and the world's most challenging technology. I'm proud of all of you working around the clock, and I'm confident you will deliver exceptional results." He added: "I know the development timeline for HBM4 and Vera Rubin is tight, but I believe in you. Now is the time for SK Hynix and NVIDIA to show the world greatness together."

◇ Green Light for SK Hynix HBM4

With Huang personally appearing at the dinner and calling for swift HBM4 delivery, analysts now see a higher likelihood that SK Hynix will maintain its position as the No. 1 supplier for HBM4 as well. NVIDIA tentatively allocated this year's volumes (HBM3E and HBM4) back in December, with SK Hynix reportedly securing over 55%, Samsung in the mid-to-high 20% range, and Micron at roughly 20%.

While Samsung's push forward in the HBM4 technology race has raised the possibility of shifts in supply share, the prevailing view is that SK Hynix stands a strong[...]

chance of securing the largest allocation once it completes quality optimization in Q1. A semiconductor industry source explained: "Final HBM4 optimization across all three memory makers won't be complete until around March. Recently, there has also been a trend of prioritizing increased commodity DRAM production to boost profitability over HBM market share."
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Jukan
A new meme just dropped: Jensen Huang looking happy after getting a birthday cake. https://t.co/N2argPHqHY

[Exclusive] Jensen Huang: "Show Me Greatness" … SK Hynix HBM4 Supply to NVIDIA Imminent

The guests of honor at a dinner held on the evening of February 14 at '99 Chicken,' a Korean fried chicken restaurant near NVIDIA's headquarters in Santa Clara, were SK Hynix's High Bandwidth Memory (HBM) engineers. NVIDIA CEO Jensen Huang arrived around 5:20 PM and spent roughly two hours going table to table, mixing "somaek" (soju-beer cocktails) for the 30-plus SK Hynix and NVIDIA engineers in attendance. Huang repeatedly told them "we are one team" and "I'm proud of you," expressing his gratitude. He also urged them to "deliver extraordinary results through relentless challenge and effort" in connection with the HBM4 (6th generation) that SK Hynix has committed to supply.

◇ The HBM4 Jensen Huang Is Waiting For

The semiconductor industry views it as highly unusual for Huang to personally host a dinner for a partner's engineers. The dinner was arranged on short notice after Huang instructed NVIDIA employees last week to "organize a dinner to encourage SK Hynix's HBM engineers." This underscores just how critical SK Hynix's HBM4 is to NVIDIA's future.

SK Hynix formally joined NVIDIA's supply chain in July 2020 with HBM2E (3rd generation) shipments. It went on to serve as the de facto sole supplier for HBM3 (4th gen) and HBM3E (5th gen), forging a relationship so tight alongside TSMC that the trio became known as the "AI semiconductor triple alliance."

HBM4 is regarded as the key component that will determine the performance of NVIDIA's next-generation AI accelerator "Vera Rubin," slated for the second half of this year. HBM4 is a high-performance DRAM module made by stacking 12 advanced DRAM dies, responsible for feeding massive volumes of data in a timely manner to the GPU that handles computation inside AI accelerators like Vera Rubin. NVIDIA has demanded HBM4 suppliers deliver operating speeds of "11 gigabits per second (Gbps) or higher" and "bandwidth of 3.0 terabytes per second (TB/s) or more" — specifications exceeding by over 30% what competitors like AMD require for their HBM4. In other words, NVIDIA has positioned HBM4 as Vera Rubin's key differentiator.

◇ "The Timeline Is Tight, but Show Me Greatness"

Unlike HBM3E, which was essentially SK Hynix's one-man show, HBM4 — whose market opens in earnest in the second half — presents a different competitive landscape. Samsung Electronics shipped its first official HBM4 product to NVIDIA on February 12, an industry first, featuring operating speeds of 11.7 Gbps (up to 13 Gbps) and bandwidth of 3.3 TB/s.

SK Hynix has secured HBM4 performance of 11.7 Gbps or above and is currently mass-supplying paid samples to NVIDIA while carrying out performance optimization work. The industry expects SK Hynix to receive NVIDIA's official "go for mass supply" sign-off in the near term.

At the dinner, Huang urged SK Hynix engineers to "deliver top-performing HBM4 without any delays." In a closing toast just before the dinner ended, he said: "AI accelerators and HBM4 represent remarkable, extraordinary, and the world's most challenging technology. I'm proud of all of you working around the clock, and I'm confident you will deliver exceptional results." He added: "I know the development timeline for HBM4 and Vera Rubin is tight, but I believe in you. Now is the time for SK Hynix and NVIDIA to show the world greatness together."

◇ Green Light for SK Hynix HBM4

With Huang personally appearing at the dinner and calling for swift HBM4 delivery, analysts now see a higher likelihood that SK Hynix will maintain its position as the No. 1 supplier for HBM4 as well. NVIDIA tentatively allocated this year's volumes (HBM3E and HBM4) back in December, with SK Hynix reportedly securing over 55%, Samsung in the mid-to-high 20% range, and Micron at roughly 20%.

While Samsung's push forward in the HBM4 techno[...]

logy race has raised the possibility of shifts in supply share, the prevailing view is that SK Hynix stands a strong chance of securing the largest allocation once it completes quality optimization in Q1. A semiconductor industry source explained: "Final HBM4 optimization across all three memory makers won't be complete until around March. Recently, there has also been a trend of prioritizing increased commodity DRAM production to boost profitability over HBM market share." - Jukan tweet

The Transcript
Jones Lang LaSalle CEO: "We are pleased with our...performance, achieving new highs at year-end across key top- & bottom-line performance metrics as well as FCF...Looking ahead, we see significant runway for healthy growth with continued margin expansion."

$JLL: +4% PM https://t.co/MbDNnUN1Ks
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The Transcript
Wingstop CEO: "In a year marked by uncertainty, the structural advantages of our operating model are reflected in our 15% Adjusted EBITDA growth in 2025."

$WING: +19% Pre-Market 🚀 https://t.co/Hm4PlhfiRJ
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