🇬🇧 2017 survivor. Stack BTC, it’s running out. Easy to buy. Hard to hold. Sep 26 - low lev longing in major narratives

surfing the mempool
Joined August 2018
BitcoinerBaby retweeted
Ok, this guy just LEAKED the EASIEST method to make money in 2026 Claude Code + YouTube = $62,000/month Nothing complicated (just 13 minutes). Ready for you to replicate from home. 🔖 Save it, you won't see it again.
una chica de 17 años factura 7.800$ a la semana. solo con Google Maps + Claude. no ha hecho una web en su vida. me reí. me enseñó su stripe. me quedé callado. lo único que hace: → abre google maps → busca "tacos filadelfia" → elige uno de 4,7 estrellas → con web de 2013 → copia sus datos → los pega en un constructor → sitio listo en 20 min hace 6 meses ganaba 9$/h en mcdonald's. el uniforme todavía cuelga en su armario envía la web terminada, con el nombre del negocio ya puesto, y se va a dormir el dueño de la taquería abre el link. se lo enseña a su hija. "¿esto somos nosotros?" paga 4.800$ esa misma noche. "¿esto va en serio? ¿cuánto cobras?" así fue su martes. mes 1: 800$ mes 2: 4.100$ la semana pasada: 10.400$ una agencia web pediría 14.500$, cuatro personas y seis semanas. ella: → 0$ de inversión → trabaja sola → 20 min por cliente su padre sigue creyendo que trabaja en mcdonald's. este es el mismo sistema, pero escalado: una máquina de captación b2b de 10k$/mes con la misma lógica, sin llamadas en frío ni anuncios ↓ guárdalo. no lo vas a volver a ver tan claro.
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BitcoinerBaby retweeted
This is f*cking dangerous You can actually use Grok Bot to spot REAL insider trading with a single prompt... Paste this into Grok Bot. It will set up all the necessary connections. It will probably change your life:
if you want to build an AI trading system from scratch, start with this article you will end up with real market data, real backtests and a bot that trades for you 24/7
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BitcoinerBaby retweeted
WHAT HAPPENS WHEN YOU ASK CHATGPT TO FIND EVERY PHOTO OF YOU ON THE INTERNET? I tried it. It found me in photos I didn't know existed. Here are the 3 prompts:
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OVERTRADING October 10, 2025 i had what would become the single biggest one-day loss of my career i lost eight figures in minutes due to systemic failures on the biggest CEXs, and to this day, no one has taken accountability for what happened my losses made headlines and became one of the biggest stories to come out of that day but what many people don't know is what happened in the weeks and months that followed i lost several million more and i did it by making one of the biggest mistakes traders like me tend to make: OVERTRADING in hindsight, i would have been far better off shutting everything down for the next few months or even quarters i probably would have become a much better trader if i had simply stayed away from the computer for at least six months but a part of me was desperate for action a part of me wanted to make it all back a part of me wanted to prove that i still had what it takes and that i would get back on my feet i wanted to 'work' and sitting back, doing nothing, and staying away from the computer for a prolonged period didn't feel like work except that, for a trader, being AFK can sometimes be the most important work you do one of the biggest mistakes i made — and that many traders make — is assuming that skill, experience, and process are enough to consistently outperform the market they aren't believe it or not, successful trading is often a combination of skill, favorable market conditions, timing, and luck as a Christian, i attribute the 'luck' component to GOD's blessings and favor rather than sheer luck but the underlying principle remains the same: our biggest wins often come from combining a solid process with being in the right place at the right time sometimes, that means catching a single exceptional trade other times, it means being positioned during a streak of opportunities that emerge in quick succession because market conditions are overwhelmingly in your favor for example, you could have been a memecoin god simply by being active in the market during the explosive memecoin era of 2021, which produced $DOGE, $SHIB, $FLOKI, and several other billion-dollar runners many traders made life-changing money during that period but the same sophisticated processes that helped some of us make 7, 8, or even 9 figures during the bull market would have failed miserably in the bear market that followed in 2022 the same principle applies to the 2024–early 2025 era, which produced several multibillion-dollar runners like $WIF, $POPCAT, and $FARTCOIN and then the prolonged dearth of opportunities after $TRUMP leading to 10/10 and the almost one-year period following the point is simple: the edge that makes you money in one market environment won't necessarily make you money in another and one of the most important skills you can develop as a trader is recognizing when your edge is no longer there sometimes, the best trade is no trade at all sometimes, the smartest thing you can do is take a bow, step away, and wait for the next opportunity even if only temporarily it's almost impossible to consistently beat the market over a sufficiently long timeframe but as crypto traders, we have one significant advantage: we don't need to outperform the market every single day, week, or month to generate exceptional returns historically, crypto's bull phases have tended to occupy a disproportionate share of the cycle, with bear phases accounting for a smaller portion using one historical framework, the bull phase averages approximately 1,060 days, or 74% of the cycle, while the bear phase averages around 380 days, or 26% but if your definition of a bull run is narrower — i.e. a period of explosive momentum when $BTC trades above its 200-day moving average and much of the cycle's biggest price action occurs — then the window becomes significantly shorter under that framework, we're talking about approximately 237 days, or around 16% of the cycle these figures are estimates based on particular definitions of market phases, not universal constants but the broader lesson remains: you don't need to trade every market. you need to recognize the windows when your edge is strongest and capitalize on them for the rest of the time, there's nothing wrong with stepping away entirely or trading only with a tiny fraction of your portfolio that you can comfortably afford to lose preserving your capital, your mental clarity, and your ability to recognize the next major opportunity is far more important than forcing trades in unfavorable conditions because the goal isn't to be active all the time the goal is to be positioned when it matters most and to have the discipline to do nothing when it doesn't to conclude, i only wish i had followed this advice myself hopefully, i'll do a better job of applying it going forward, GOD WILLING
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For those of you who thought the visit from a Bedford Borough Council official to investigate our daughter Zoe’s (age 12) pretend teddy bear cafe was too ridiculous to be real, here is the arrival of official. This is totally legit. She really did show up at our property to investigate the illegal teddy bears having their coffee🧸🧸☕️☕️
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BitcoinerBaby retweeted
Congratulations, altcoin holders… We’ve been waiting 4 years for this breakout. It’s almost time.
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Ethereum and Arbitrum Gain New Privacy Layer as Fhenix Goes Live news.bitcoin.com/blockchain/…
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$13 TRILLION BLACKROCK RELEASED A VIDEO EXPLAINING #BITCOIN THIS IS A MUST WATCH 🔥
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BitcoinerBaby retweeted
The Audit Of The Memecoin Casino Since late August we have recorded every trade on every pump fun and Stonk launch on Solana. Not a sample. All of it: 384 million swaps from 7.7 million wallets across more than a million pools, every bonding curve and every pool that follows it. That is over 56 GB of data and 820 million rows of market history, and it grows by 18 to 25 million trades, up to a million wallets and more than 60,000 new launches every day. We measured each coin minute by minute. We scored every entry by what the coin did next. We trained neural nets on the result, then went wallet by wallet looking for the people who actually win. The question was simple: can anyone see the big move coming before it happens? The short answer is no. The long answer is worse than no, because the data does not just fail to find an edge for you. It shows, in detail, who holds the edge, how they use it, and what they do with you. Start with a coin that has actually caught a bid: real volume, real buyers, the kind of thing that shows up on your screener. From any given moment, about one in ten of those doubles within the next 24 hours. The rest bleed, and the bleeding is not gentle. Now take a wallet's first buy into a live coin. Every first buy, 22.8 million of them over a two-week window. In 17% of those entries the coin doubles before it drops 40%. Trade that mechanically, double or stop, and you lose about 19% per attempt after costs. Call that the house hold. A slot machine keeps 5 to 10%. This keeps 19%, per pull, before any skill or selection is applied. The reason is the shape of the payoff. A 2× pays you 100%. The failures do not cost you 10%; they cost you 50%, 80%, 95%. To break even you have to be right far more often than the game allows. The cabal is real, and we can see it CT calls it the cabal. The data calls it a cluster: a set of wallets whose first buys land within a minute of each other, on the same brand-new coins, over and over. We do not find them by name or PFP. They fall out of the trade stream all on their own. They are there. Swarms of 450, 1,400 and 2,000 wallets that hit hundreds of launches a week, moving in within the first minute or two of a coin's life. Smaller, tighter groups of 7 to 50 wallets that pick their spots. Across daily refreshes the count has run from 9 groups to 33, with members rotating in and out as wallets burn and fresh ones take their place. They are not guessing. The coins the big swarms pile into double 28 to 46% of the time, three to four times the base rate. Their own entries, across every coin they touch, run 50 to 60% to a 2× before a 40% drop, against 17% for everyone else. That is what an edge looks like in this market. It belongs to a few hundred wallets, and it is applied to tens of thousands of launches with industrial regularity. Copying them loses too The obvious retort: find the cabal, copy the cabal. We did exactly that. A machine watches every launch every minute and flags the moment a known group piles in. Then we traded every flag the way a fast human could: in two minutes behind the group, double or stop out at −40%, out after a day. Following the big swarms lost 41% per coin across 93 coins. The median result was −95%. Not because they were wrong; their coins doubled 28% of the time. Two minutes behind them is simply already the top of the move. They bought at launch. You bought the candle they are selling into. Following only the groups with a positive track record still lost 11% per coin. Following one good wallet on its own lost 20% per trade in our back-tests. The single pocket that came out ahead, a handful of small, tight groups, made about 10% per coin over 16 coins. That is a few days of trades and nothing anyone should bet a bankroll on. The cabal's edge is not information you can borrow. It is position. By the time their trade is visible on-chain, the thing that made it profitable is gone. The best model we could build still loses We also tried the honest version: no cabal, just prediction. Dozens of signals per coin every minute, price, flow, liquidity, holder behaviour, bot share, fed into neural nets trained on our own history and tested on days they had never seen. It works, in the sense a quant would recognize. The top of its ranking doubles 26% of the time against a 10% base rate. Two and a half times better than chance. It also loses money every single day. 771 picks over eight days; every day negative; −11% per pick on the same double-or-stop rule; the median pick down 45%; 55% stopped out within 24 hours. The ranking is real and the P&L is still red. The losers are deeper than the winners are tall, and nothing observable at the five-minute mark separates the coin that keeps going from the one that reverses. That is the part worth meditating on: a model 2.5× better than chance odds is still a losing model. Why nobody sees it coming The reason is simple, and it should change how you look at every chart. A meme coin moves because a few people decide to move it: the operator holding the supply, the caller with an audience, the wallet group with the bankroll. That decision is made off-chain. The chain only shows you its execution, the swaps, the volume, the new holders, and by then the first leg is done. Everything a trader looks at, from a screener to a chart to a wallet tracker, is a photograph of a decision that has already been made. The data is enormous and almost all of it is the crowd reacting. The informative part, a few hundred wallets' intent, is visible only at the instant it executes, and the people executing it are the ones selling to you a few minutes later. Add 60,000 launches a day, and the future 100× at minute one is indistinguishable from the 59,999 that die. The casino does not need to hide the cards because it deals them faster than anyone can read and analyze them. Conclusion After spending thousands of dollars in API credits, VPS costs, Claude credits, etc the goal was simple: find alpha - if it exists - in order to be able to monetize it. Instead, all we were able to prove is what we all have suspected all along - the meme coin casino is almost entirely cabal driven. 🫡 From the depths — The White Whale 🐋
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BitcoinerBaby retweeted
$1.33B in 12 months. That’s how much 15 crypto protocols spent buying back their own tokens. 1️⃣ The big spenders $HYPE: $689M $PUMP: $285M $SKY: $59M $UNI: $57M $CAKE: $45M => Hyperliquid alone is more than half of all buybacks tracked. 99% of its fees go to buying HYPE. 2️⃣ The real yield leaderboard Buyback yield = 12-month buybacks ÷ market cap. $ORE: 72.7% $PUMP: 13.5% $CAKE: 6.3% $LIT: 3.9% $JUP: 3.9% $HYPE: 3.8% => PUMP buys back 13.5% of its market cap a year. HYPE, despite spending 2.4x more, sits at 3.8%. 3️⃣ Burn vs hold Only 5 of 15 burn what they buy: $HYPE, $PUMP, $UNI, $CAKE, $ORE. The rest hold the tokens in treasury or route them to stakers ( $JUP, $RAY, $ASTER, $LDO, $NEAR). => Burned supply is permanent. Treasury supply can come back to market. 4️⃣ The sector picture Perps & trading: $785M Launchpads & consumer: $327M DEXs: $122M DeFi infra: $94M L1s: $6M => Trading venues dominate because they have the cleanest fee streams to redirect. 5️⃣ The newcomers $UNI: fee switch only went live in Dec 2025, already $57M $NEAR: buying back with Intents revenue since Feb 2026 $ASTER: 99% of daily fees into buybacks since June => The list is growing. Revenue-to-holders is becoming the default expectation.
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