Kaizen

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Kaizen

Kaizen

@hugodevlieger

Regret minimalization (0.8v + 0.1c + 0.1gz + (1 + 0.1)s + (0.3 + 0.7)cr) = 3.1 0.4v + 1.025s; 2.125 gcr

Katılım Mart 2018
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Kaizen
Kaizen@hugodevlieger·
Top preparation thread:
Metaquant@QuantMeta

80% of profits are made in the last 20% of the cycle. Learn how to recognize an alteason and make the most out of it. What triggers an altseason is not the percentage return of $BTC but its wealth effect. And since September 2023, Bitcoin's market cap has grown by $941 billion. Almost 1 trillion dollars. • $1 trillion is roughly the size of the entire economy of Saudi Arabia, Netherlands, or Switzerland. • $1 trillion is 2.89% of United States national debt. • $1 trillion is 2.5% of the S&P500 total market cap. • $1 trillion is bigger than almost all Sovereign Wealth Funds. Given that most altcoins are relatively small in size, it will not take much of this wealth to significantly increase their price. The whole altcoins market cap, excluding ETH and major stablecoins, is currently $588 billion. So, when will this happen? Probably, once $IBIT, $FBTC, $ARKB, and all other Bitcoin ETFs are at 100%+ from their launch price. Rarely in the past tradFi investors had the opportunity to double their investment in a matter of a few months. Bitcoin's big gains will boost their ego and confidence, pushing them to start exploring other coins. It's like making money in big companies and then taking a chance on smaller startups. • Wealth Effect - As people experience gains in their wealth, they may feel more financially secure and confident. This increased sense of wealth can lead to a willingness to take on more risk and pursue higher returns. • Overconfidence Bias - As investors experience success in one area of the market, they may become overconfident in their abilities to predict future market movements or identify lucrative investment opportunities. • Recency Bias - If an investor has recently experienced significant gains, they may extrapolate this success to other areas of the market or investment opportunities without fully considering the inherent risks or differences in asset classes. Whether it's the wealth effect, these biases, or all of them, we'll soon see a flywheel bigger than what we experienced in the previous cycles. The percentage increase might be smaller this cycle, but the dollar scale is exponentially higher. It took 57 days for the ETFs to be up 50% from launch. At $93,000, day-1 buyers will be up 100%. At $72,900 and $97,100, the huge inflows between the 8th and 16th of February ($7.16 billion) will be up respectively 50% and 100% At $85,700 and $114,600, those who entered between the 26th and 28th of February ($1.77 billion of inflows) will be up 50% and 100%. It's good to keep them as a reference because this is what wealth effect is which leads to more risk taking. What we need to keep an eye on are CEX inflows/outflows. Since 11 January, these were the inflows of the three most utilized CEXs: • OKX - $1 billion of inflows • Robinhood - $263 million of inflows • Binance - $247 million of inflows — Data from Defillama — In the meantime, the cumulative inflow for ETFs reached $10+ billion. It's clear that ETFs are the new preferred way to buy and hold $BTC. On the other hand, no ETFs exist for altcoins (it can change). CEXs first and DeFi afterward are the only ways to get exposure to them. CEXs inflows increasing = investors looking to buy altcoins. Another way to look at it is by comparing the growth of stablecoins market cap and TOTAL2. April 2021 - April 2022 • Stablecoins Market Cap: +$125 billion • TOTAL2 Market Cap: +$430 billion October 2023 - March 2024 • Stablecoins Market Cap: +$21 billion • TOTAL2 Market Cap: +$707 billion Money isn't entering the market as in the previous years. Is this cycle different? No. Simply, there is a step more to enter the market. We passed from CEXs → DEXs to ETFs → CEXs → DEXs But, this additional step will push into CEXs hundreds of billions of inflows. It only requires some patience. Where are we heading? If we have the same patterns as the previous cycle, we'll see a ~38% dominance for alts (excluding BTC - ETH - USDT - USDC - DAI) at the top. With an overall $7.8 trillion crypto market cap, the market cap for alts would be around $2.96 trillion. A 5.1x from where we stand right now. The final stages will come when flows into CEXs/DeFi are at par or even higher than ETF ones. 'Impatience with actions, patience with results' - Naval.

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V*
V*@Vmaxpax·
Lot's of new interest in #helws laser weapons Here's a peer comparison chart I put together recently. Alot to it, spectral vs coherence is big deal + metrics like beam quality, brightness & engagements per minutes. There's also thermal constraint mgmt & supply chain
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V*@Vmaxpax

🎯 $Avav locust system only 20kW but hitting a sweet spot for power vs mobility. Higher power than $ipgp Crossbow 8kW systems that really are only “dazzlers” blinding sensors. Meanwhile there’s a race on in the +100kW class. #helws

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Stack Hodler
Stack Hodler@stackhodler·
Been preaching it for a while, but it's really time to embrace the way of the europoor - coastal trail runs - open ocean plunges - spike ball on the beach - morning espresso in the sun - rusted out bikes / cars for transport - a cold bottle of rosé shared with friends - daily fresh produce from the market stalls - cooking with windows open, piero piccioni vibes La vie analogue. This is the way forward.
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Kaizen
Kaizen@hugodevlieger·
@MinervaCap Where did you buy those options? On IBKR I can only see availability till max July 2026
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Kaizen
Kaizen@hugodevlieger·
@Venu_7_ Nice, owning $DPRO as well. Have you looked at $PDYN and $FLT as well by any chance?
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Kaizen
Kaizen@hugodevlieger·
@IncomeSharks Liking these original stock picks, baven’t seen anyone else talk about it
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IncomeSharks
IncomeSharks@IncomeSharks·
$FRPT - Alert set, probably get a second entry on confirmation of a bullish breakout.
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IncomeSharks@IncomeSharks·
$ORCL - Stopped seeing the timeline say to buy this deep, we must be getting close to an actual bottom.
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HeyOz
HeyOz@HeyOz_AI·
If I had to launch a new product with only 10 ad creatives, here’s exactly what I’d make (and why). 👇 Because most brands don’t have a media buying problem… They have a “we only tested 3 angles” problem. Here’s what usually happens: You spend weeks perfecting the product and landing page Then you rush the ads: 2–3 “nice looking” creatives All 3 say basically the same thing: “Here’s our product, it’s great, buy now” You turn on campaigns, results are mid, and the conclusion is: “Meta doesn’t work for us” “Our niche is too expensive” “We need a better media buyer” But the algorithm can only amplify what you feed it. If you only give it 3 similar ads: You’re not testing different hooks You’re not testing different problems or desires You’re not testing different levels of awareness You’re not actually testing — you’re just repeating. The brands that win treat creatives like a lab: Multiple hypotheses Multiple angles Multiple ways of telling the same story And they learn fast what the market cares about. So, if I had to cap myself at just 10 creatives, here’s my starter pack: 1–2: Pure “UGC problem rant” ads Someone talking straight to camera about the exact pain your product solves. Why: This builds emotional relevance. It’s not about the product yet, it’s about their frustration. 3: Founder story / “why this exists” Face-to-camera or overlaid text on b-roll: “I built this because…” Why: People buy from people. This builds trust and a reason to care. 4–5: Direct response product demo Clear, close-up demo of the product in use. Step-by-step, no fluff. Why: Removes friction. They should instantly understand what it does and how it works. 6: Before / After transformation Side-by-side or split-screen, with bold “BEFORE / AFTER” labels. Why: This is what performance ads are made of — visible change. 7: Social proof / testimonial mashup Screenshots of reviews, quick quotes, star ratings. Why: If strangers love it, I’m more likely to trust it (especially cold traffic). 8: “Objection killer” creative Call out the #1 doubt in the hook: “Too expensive?” “Will it actually work?” “Is this legit?” Why: Great ads answer objections before they’re asked. 9: Offer-focused creative Lead with the deal: free shipping, bundle, guarantee, limited-time launch offer. Why: Sometimes they already like it — they just need a nudge to act now. 10: Pattern-breaker / meme-style ad Something scroll-stopping, unexpected, a bit weird but still on-brand. Why: This wins impressions, curiosity, and cheap clicks you can retarget later. Launch with these 10 and suddenly you’re not just “running ads” — you’re learning what actually moves people to click and buy. 🧪 I’m building Oz exactly for this: paste in a product page, and spin up these 10 (and more) in minutes instead of weeks. If you want, I can break down how I’d structure these 10 creatives for your product. Just comment "CREATIVE" and I'll be in touch.
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Chicken Genius
Chicken Genius@pakpakchicken·
Price came down a little. This is a copy pasta I sent to my close friends a while back: Reducing exposure to crypto was a good / lucky call. Avoiding massive liquidations. Of course we can go higher from here. It’s way oversold. However it’s time to look elsewhere for better asymmetric risk. First thing 1st. Open a brokerage that allows you to buy Hong Kong / China shares. Multiple reasons: > USA trading at multiples way higher and requires perfect execution to remain this high. > REE ( Rare earth elements ) geopolitical risk. It takes 7-15 years to solve this. Total Market cap ( Trillion ) Humanoid Robotics - 0.11 ( ex Tesla ) AI - 8.5 Semicon - 7.2 Biotech - 2 Crypto - 4.2 Humanoid Robotics is highly overlooked as nobody got any clue where to start except for TSLA. Else it depends on your connections with VC to get allocations. How is a multi trillion industry worth 0.1 Trillion now? Robotics is Physical AI. Physical AI replaces human labour. Solving for human labour is by far the biggest opportunity that will ever exist and here we are at 0.1 Trillion while Biotech is at 2 and crypto is at 4.2 Trillion. I’ve done the primary research. I’ve also shared a pdf on robotics earlier this year. It’s on my X profile, click highlights tab. 4th post. Ranked List: Who Succeeds First in Mass Scaling 1. Unitree Robotics (G1/H1) - $7B valuation (pre-IPO, Q4 2025) Why First? Mass production underway at Hangzhou factory (10,000 sqm, 1,000+ units in 2025). $16K price point at Walmart. Timeline: Now (2025: 1,000+; 2026: 10,000+). Risks: Geopolitical Edge: Fastest to market; open-sourced AI. Chinese State VC Investment 2. Agility Robotics (Digit) - $1.25B valuation (Series B, Mar 2025) Why? RoboFab (Salem, OR) at 10,000/year capacity; hundreds in Amazon/GXO warehouses. $400M funding fuels RaaS for logistics. Timeline: 2025: Thousands; 2026: 10,000+. Risks: U.S. REE supply constraints. Edge: Proven commercial contracts. 3. UBTech Robotics (Walker S1/S2) - $7B market cap (HKEX, Oct 2025) Why? Foxconn/SF Express partnerships for 1,000+ units in 2025; MIIT subsidies target 500 robots/10k workers. Timeline: 2025: 1,000+; 2026: 15,000+. Risks: Geopolitical Edge: State-backed industrial push. Chinese State VC Investment. Deployed areas with more orders = Proof of concept. 4. Tesla (Optimus Gen 3) - $1.4T market cap. Why? Gigafactory aims for 10,000 internal units in 2025; It’s Elon. Don’t bet against him. Timeline: 2025: 10,000 (internal); 2026: 100,000+. Risks: REE bottlenecks, execution slippage, cost per unit VS China Edge: Unmatched capital and AI. 5. Figure AI (Figure 02/03) - $39B valuation (Series C, Sep 2025) Why? BMW pilots with OpenAI/MSFT backing; $1B+ raise fuels AI but no factory yet. Targets 100,000 by 2029. Timeline: 2025: Pilots; 2027: 10,000+. Risks: Hardware scale lag. Edge: Elite AI ecosystem. 6. Boston Dynamics (Electric Atlas) - $1.1B valuation (Hyundai subsidiary, 2025) Why? Hyundai orders thousands; TRI enhances agility. Production not prioritized. Timeline: 2025: Hundreds; 2027: 5,000+. Risks: High costs, slow pivot. Edge: Best-in-class mobility. 7. Apptronik (Apollo) - $500M valuation (Series B, Feb 2025) Why? Mercedes/Walmart pilots; $350M for warehouse scaling. Jabil partnership aids production. Timeline: 2025: 500+; 2026: 5,000+. Risks: Durability at scale. Edge: Industrial focus. 8. 1X Technologies (Neo) - $1.5B valuation (Series B, 2024) Why? OpenAI-backed household pilots; Norway factory starts low-volume. Timeline: 2025: Low-volume; 2026: 2,000+. Risks: Consumer safety regulations. Edge: Domestic AI niche. 9. Sanctuary AI (Phoenix) - $1B valuation (Series D, 2025) Why? Logistics pilots with Carbon Robotics; fine-motor AI focus. Timeline: 2025: Pilots; 2027: 3,000+. Risks: Precision scaling. Edge: Adaptive learning. 10. Fourier Intelligence (GR-1/GR-2) - $300M valuation (Series E, 2025) Why? Healthcare production at 1,000+/year; EU hospital shipments. Timeline: 2025: 1,000+; 2026: 8,000+. Risks: Broader market pivot. Edge: Medical adoption. This is not some crypto ADHD play. Just like how I sat on Tesla for years, this is how I’ll play this. I'll buy more if it goes down to the blue line. If price goes down, I’m not your customer support. Don't thank me if it goes up too. You will jinx me. I also know the Tesla fanboys will come after me. Your stock been flat for 4 years. That's a fact. While I'm very sure Tesla will do very well technically. I don't like buying $1.4T Market Cap. That's me. Good luck.
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Chicken Genius@pakpakchicken

what should I do? I want to recommend you this stock. Broke out of multi year range. Narrative should rotate here soon. But price refuse to go down near the blue line. If I recommend NOW and it drops to blue line. > Everyone gonna scream like pussies > I become customer support 😐 > You blame me for you not having risk management > If it goes up, you will fomo 😐

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Chicken Genius
Chicken Genius@pakpakchicken·
Here’s some alpha. Do the work. Make money the smart way. Dividend Yield? LMAO Stablecoin Yield? LMAO Rental Yield? LMAO Options Yield? Ok not sooo bad if you use it properly. REITS? LMAO Bond Yield? LMAO On-chain looping Yield? LMAO Crypto Yield? LMAO Spot Perpetual Arbitrage - Beginner Mode - 10 - 20% APR Expert Mode - 50-100% APR If you cannot identify where the yield comes from. You are the yield. Dividends are distributed when companies are at the tail end of growth stage. Dividend investors face capital risks with low returns. Mathematically retarded. Stablecoin yield needs to be more than inflation to breakeven + smart contract risk + CBDC controls Options yield pretty good. Real yield. However capital risk to options yield requires above normie knowledge. REITS. Long term, you are fked. There’s no “but” Bonds - Issuer Risk. Capital intensive, Low Rewards and often lower than inflation. On-chain Yield. Smart contract Risk, Liquidity risk. Spread Risk. Constant monitoring and moving capital to the next best. Spot Perpetual Arbitrage Risk: Platform Risk. That’s all.
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IncomeSharks
IncomeSharks@IncomeSharks·
The first 30 minute candle strategy went 5/5 this week. Literally as simple as GREEN or RED. If the 30 minute closed green you'd open calls and close after an hour. If red you'd open puts and close after an hour.
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IncomeSharks@IncomeSharks

Even during a FOMC week the 30 minute candle strategy is 4/4. Wait for the 30 minute candle to close, if green open calls, if red open shorts. Can add on confirmation of the range break. This setup returned 90% on $SPY calls in 15 minutes today.

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Caleb Franzen
Caleb Franzen@CalebFranzen·
This is the relationship between: 🔵 1-month Treasury yield 🟢 Effective fed funds rate It's the best tool we have to forecast what the Fed will likely do at the next FOMC meeting, on September 17. Especially in combination with the 3M Treasury yield. Right now, the bond market doesn't believe that cuts are coming because the 1M yield is essentially equal to the EFFR. How will we know when a rate cut is likely? When the 1M Treasury yield is 0.13% below EFFR. Why? Because the Fed will cut by 25bps. So if the 1M yield is (0.5*0.25)% below EFFR, then it's officially telling us that it's more likely than not for the Federal Reserve to cut rates in the next month. In plain English, if/when the 1M Treasury yield is at or below 4.205%, then we know that the market is officially pricing in cuts. Right now, the 1M yield is 4.301%.
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Lin
Lin@Speculator_io·
A List of Al Infrastructure Stocks: 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿𝘀 $NVDA Nvidia $AVGO Broadcom $TSM TSMC $MRVL Marvell $ASML ASML $AMD AMD $INTC Intel 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 $AMZN Amazon $MSFT Microsoft $GOOGL Alphabet $ORCL Oracle $NOW ServiceNow $IBM IBM 𝗦𝗲𝗿𝘃𝗲𝗿𝘀 $SMCI Super Micro $DELL Dell $VRT Vertiv $HPE HPE 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 $STX Seagate $MU Micron $WDC Western Digital 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀 $AMSC American Superconductor $NVT nVent $APH Amphenol ETN Eaton 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 $CRDO Credo Technology $CLS Celestica $ANET Arista Networks $ALAB Astera Labs $FFIV F5 Networks $COHR Coherent CSCO Cisco Systems JNPR Juniper Networks CIEN Ciena EXTR Extreme Networks 𝗖𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 $PLTR Palantir $SNOW Snowflake $INOD Innodata GTLB GitLab ESTC Elastic DDOG Datadog CFLT Confluent DOCN DigitalOcean MDB MongoDB 𝗗𝗮𝘁𝗮 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 $CRWV Coreweave $NBIS Nebius $IREN Iris Energy $APLD Applied Digital $GLXY Galaxy Digital CORZ Core Scientific EQIX Equinix GDS GDS Holdings AMT American Tower VNET VNET Group 𝗡𝘂𝗰𝗹𝗲𝗮𝗿 𝗘𝗻𝗲𝗿𝗴𝘆 $OKLO Oklo $SMR NuScale $NNE Nano Nuclear $BWXT BWX Tech RYCEF Rolls Royce 𝗗𝗮𝘁𝗮 $META Meta $RDDT Reddit 𝗘𝗻𝗲𝗿𝗴𝘆 𝗮𝗻𝗱 𝗨𝘁𝗶𝗹𝗶𝘁𝗶𝗲𝘀 $GEV GE Vernova $VST Vistra $CEG Constellation Energy $TLN Energy PEG PSEG ETR Entergy DUK Duke Energy PNW Pinnacle West NEE NextEra Energy SRE Sempra Energy SO Southern Company D Dominion Energy WEC WEC Energy Group 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 PWR Quanta
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Startup Archive
Startup Archive@StartupArchive_·
Jensen Huang: It's easier to fall in love with what you do than to find what you love “A lot of people say, ‘Find something you love.’ I don’t know about that. I guess I’ve fallen in love with many things that I do. I loved it when I was a dishwasher. I loved it when I was a busboy. I loved it when I was delivering papers. I loved it when I was waiting tables.” Jensen continues: “I’ve loved every single job that I’ve ever had, and I’ve loved every single day at Nvidia that I’ve ever had. I just learned to love what I’m doing. It’s hard to find something that you love, but it’s easier to fall in love with what you’re doing. And once you fall in love with what you’re doing because you desperately want to do a good job at it, it’s easier to do it well and work hard.” Video source: @NorgesBank (2023)
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IncomeSharks
IncomeSharks@IncomeSharks·
When the markets are printing it's the best time to take out profits because you won't even notice them coming out of your account. Then when the music stops you'll look back and realize you actually have something to show for for all the hours you spent trading.
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IncomeSharks
IncomeSharks@IncomeSharks·
$AMD is a perfect example:
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Articulate Cynic
Articulate Cynic@chasin_green_·
What’s the best way to run 10k into 1 mil over the next 2 months?
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ANBESSA
ANBESSA@Anbessa100·
If you had listened to one of those crash prophets, you’d have sold BTC multiple times before it skyrocketed to $100K. Stay unfazed. All the FUD is just noise, useful only for short-term volatility, nothing more. Try one thing with BTC. Buy dips, hodl.
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Scient
Scient@Crypto_Scient·
They say this every cycle, and every cycle is the same. Everything is expected and happens the same way. Why? Because it's the cycle of money. Q1 is for New Year resolutions, new plans, investments, execution, etc (mostly bullish) Q2 is taxes, rethinking, and indecision because of the Q1 decisions. (mostly bearish) Q3 is holidays, relaxation, go with the flow and let the first half plans play out. (mostly sideways) Q4 is about optimism, looking back at the year and making efforts to end the year on a high, achieving goals, etc. (mostly bullish) Charts are just a representation of human psychology and nothing else.
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