montjuik Tabi ๐ŸŸง | Atleta

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montjuik Tabi ๐ŸŸง | Atleta

montjuik Tabi ๐ŸŸง | Atleta

@eliash_3

@Atleta_Network

๊ฐ€์ž…์ผ Mart 2018
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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Daniro
Daniro@Dan1ro0ยท
HOW DOES THIS QUANT BOT PRINT $21,389 IN PROFIT PER DAY +$363,618 PnL in 17 days on Polymarket Only on short crypto โ€œUp / Downโ€ markets On Mar 15, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing rule P(H|D) = P(D|H) ยท P(H) / P(D) Bayesian lets the bot update its internal probability before the market fully reprices the odds This Quant Bot's wallet:@0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82-1772569391020?via=dan-kwpx" target="_blank" rel="nofollow noopener">polymarket.com/@0xb27bc932bf8โ€ฆ Trader funded this account with $14,827 and now sits at roughly 24.5x on deposit (+2,452% ROI) f = (bp - q) / b* - Kelly determines how large the position should be r = s - qฮณฯƒยฒ(T - t) - Stoikov handles quote placement and inventory risk An arbitrage bot is not just buying both sides. It is a mathematical engine that detects mispricing, sizes the trade, and controls risk in real time This is what that looks like in practice: $17,839 โ†’ $36,318 (+103.58%) $3,112 โ†’ $15,011 (+382.22%) $10,676 โ†’ $22,178 (+107.74%) The core logic is simple: YES + NO < 100ยข
Daniro@Dan1ro0

x.com/i/article/2036โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Noisy
Noisy@noisyb0y1ยท
Claude Bot analyzed the top 1000 polymarket traders and found what generates them $5,000 a day professional traders on prediction markets make +$70,000-$100,000 a month they're all united by simple math formulas and 5-8% spreads These formulas clearly explain where to open a market and where not to where it's profitable and where it's not prediction market has long stopped being gambling it's math and formulas Copy trades: @011k" target="_blank" rel="nofollow noopener">kreo.app/@011k
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Noisy@noisyb0y1

x.com/i/article/2034โ€ฆ

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Recogard
Recogard@recogardยท
I found a fully functional Polymarket trading bot on GitHub that runs 7 different strategies at the same time and its completely free.. Thank God, it comes with a detailed step by step setup and usage guide, so for me it took around 15 min to get it running. How this bot actually works: The bot automatically scans hundreds of 5 min, 15 min and 1 hour markets per day using WebSocket and its own algos. Based on the market situation, bot decides which strategy to use for trading multiple markets at the same time. I will describe 3 main strategies: Dump and Hedge - based on the @the_smart_ape Two Leg catching strategy, this bot detects a sudden price drop, buys that side and then hedges it by buying the opposite side when the total cost is < $1. PreOrder and MidMarket - places limit orders on both sides ($0.45 each) on the start of the market. If both get filled, the total price is $0.9 < $1 - $0.1 guaranteed profit. HighSide and LowSide - if one side is already very close to winning (>$0.90) near the end, the bot simply buys it. On the other hand, it can also place very cheap orders 1-3c on both sides, which is basically the lottery - small risk, but big reward. The most important thing - each of these strategies is protected by additional safe logics (like quick exits, stop-losses and hedging) to minimize losses if the market moves unpredictably. One very useful feature this bot has - u can run these strategies in simulation mode (test mode). It executes real trades, but using fake money, so u can see how it performs without risking any funds at all.
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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
BuBBliK
BuBBliK@k1rallikยท
87% of Polymarket wallets lose money Not because they're wrong about the future. Because they hit "market buy" instead of placing a limit order. Takers lose -1.12% per trade. Makers gain +1.12% per trade. Same market. Same contract. Opposite result. The edge isn't information. It's patience. And here's what nobody's talking about: before Q4 2025, takers were actually winning. Then pro market makers showed up, flipped the equilibrium, and turned every impatient click into their paycheck. The meta shifted. Most people didn't notice. This breakdown has the receipts - 72M trades worth of them.
Movez@0xMovez

x.com/i/article/2037โ€ฆ

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Martin A. Armstrong
Martin A. Armstrong@ArmstrongEconยท
The computer is showing this is going to extend into 2028 and that it should have turn higher exponentially here in 2026.
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Alex Mason ๐Ÿ‘โ–ณ
Alex Mason ๐Ÿ‘โ–ณ@AlexMasonCryptoยท
๐Ÿšจ OIL IS ABOUT TO REPEAT 2008 And nobody is ready for what comes next. 2008: Oil โ†’ $147. Then the crash: $147 โ†’ $30 Let me show you something most people ignore: The global oil market trades 100 million barrels per day physically. But in futures? Over 1 BILLION barrels trade daily on paper. THATโ€™S A X10 DISBALANCE. But there is an issue... Who actually sets the price of oil: The guy extracting it, or the one trading paper contracts in New York? Hereโ€™s where it gets interesting: Every major move in oil follows the same pattern: โ€“ Thin liquidity (1:10 now) โ€“ Aggressive market orders (the oil crisis is already in the headlines) โ€“ Bears get wiped (happening) โ€“ Thenโ€ฆ reversal (next) Now look at today: 2026: โ€“ Iran war escalation โ€“ Physical barrels trading at premiums (Bahrain, 2x premium) โ€“ FED hikes rates โ€“ Inflation is exploding worldwide Market makers are telling the same story: โ€œSupply is tight. Price has to go higher.โ€ But hereโ€™s what people ignore: Market makers have already been caught: - Vitol paid $160M+. - Glencore paid over $1B. Manipulating oil benchmarks. Pushing price in thin windows. Nothing has changed in years. Weโ€™re getting close to that point again. BTW, Iโ€™ve predicted all the market tops and bottoms for the last 15 years. When I EXIT the markets completely, Iโ€™ll say it here publicly, like I always do. Many people will wish they had followed me sooner.
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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Hanako
Hanako@hanakoxbtยท
my Claude built a trading system from 7 GitHub repos overnight +$847 by morning. 47 trades executed. not one placed by me. one article about polymarket bots. Claude read it, picked 7 repos, connected them, deployed. > poly_data - 86M+ trades. every wallet. every entry price > polyterm - whale tracking + insider detection + arb vs Kalshi > insider-tracker - ML flags wallets before the market moves > py-clob - official SDK. executes trades > poly-maker - both sides of the book. collects spread Claude connected them into one pipeline. poly_data scans โ†’ scores wallets โ†’ insider-tracker catches anomalies โ†’ decides BUY SELL SKIP โ†’ executes 412K scanned. 3 insider alerts. sharpe 2.36. P&L never dipped. 664 repos on github contain malware right now. Claude didn't download random packages - read which repos are safe, built from those only. what's on screen: > polyterm whale 0x6ffb... detected > insider alert: $35,000 unusual entry > Claude: Sharpe 2.41 โ†’ COPY > +$47.30 captured every few seconds. new line. new capture. copytrade: @1743116" target="_blank" rel="nofollow noopener">kreo.app/@1743116 92.4% trade what they feel. this pipeline trades what the math says.
self.dll@seelffff

x.com/i/article/2036โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Mnimiy
Mnimiy@Mnilaxยท
trader made over $300,000 on 5-min BTC thanks to claude. - a $1,500 deposit turned into $3,040,000. - +$54,200 today - +$226,000 this week he created the account on march 4th, threw in some pennies, and in less than a month printed 100 people's salaries. how? he simply set up his claude the right way. > installed MCP plugins and all necessary apis > asked claude "build a terminal for 5-min BTC markets" > AI sees the spread between spot BTC and poly BTC > buys fast, sells fast > massive profit with zero manual input his profile: @0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82-1772569391020?r=mnimiy" target="_blank" rel="nofollow noopener">polymarket.com/@0xb27bc932bf8โ€ฆ while others are integrating AI into their lives, their work, and their income, you are missing out on profits. dive into Claude today, read the articles, install MCP, and nothing will ever stop you.
Mnimiy@Mnilax

x.com/i/article/2035โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Merlijn The Trader
Merlijn The Trader@MerlijnTraderยท
100 YEARS WEโ€™VE BEEN WAITING FOR THIS YEAR 2026 IS A ONCE-IN-A-LIFETIME OPPORTUNITY!! Samuel Benner predicted this in 1875. 150 years ago. 2026: Years of Good Times. High Prices. The time to sell stocks and assets of all kinds. Every cycle since 1875 has followed this pattern. 1926. 1945. 1999. 2007. All confirmed. 2026 is next. This is not a theory. This is 150 years of data.
Merlijn The Trader@MerlijnTrader

BITCOIN IS FOLLOWING A 100-YEAR-OLD TRADING PATTERN. Jesse Livermore mapped this structure in the 1920s. BTC has followed every step perfectly. Above $70K: next leg confirmed. Below $60K: accumulation extends. A century later. Markets still move the same way.

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Risk
Risk@ryzzqqยท
52 Trading Never-Dos: Lessons Every Trader Learns The Hard Way 1) Never oversize. That is when you start becoming irrational. Blowing up while still being right is the fastest way to ruin. 2) Never trade when tired or sleep-deprived. Decision fatigue has ended more traders than liquidation ever could. 3) Never trade without a defined edge. Entering without one is just gambling with extra steps. If you canโ€™t explain your edge in a single sentence, you probably donโ€™t have one. 4) Never enter a position out of boredom. The desire to always be in a trade leads to suboptimal returns. More often than not, doing nothing is the best move.If you find yourself taking trades just to feel busy or because you โ€œhavenโ€™t traded in a while,โ€ check yourself. Trading for action leads to sloppy decisions and lossesโ€‹.Thereโ€™s no prize for the most trades โ€“ only for the most profitable trades. Sometimes the best trade is no trade 5) Never trade after a big loss. Tilt sets in, and you try to win it all back in one bad bet. Trying to recover everything at once is a guaranteed way to lose even more. 6) Never enter a position without an exit plan. Whether itโ€™s a time-based stop, price stop, invalidation, or catalyst-driven exitโ€”define it before you enter. Remember, the last moment of objectivity is before you place the tradeโ€‹.Once youโ€™re in, itโ€™s much harder to admit youโ€™re wrong, so decide beforehand when to cut the loss. 7) Never marry your bags. The market doesnโ€™t care about your conviction. Cut or be cut. 8) Never trade your PNLโ€”trade the market. Chasing losses or fixating on past wins clouds judgment and distorts execution. 9) Not all views are meant to be traded. The best trade is often no trade. Preserving capital and mental bandwidth for when odds favor you is more important than forcing activity. 10) Never fight the trend. The wave is stronger than you. Adapt or get wiped out. 11) Never try to knife catch without reason. "Cheap" can always get cheaper. 12) Never break your trading rules or deviate from your plan in the heat of the moment.โ€‹ Your rules exist for a reason โ€“ usually learned from painful experience. The moment you convince yourself โ€œjust this onceโ€ to ignore a rule (like moving a stop, or doubling down, or trading too big), you open the door to chaos. Discipline is doing the right thing even when itโ€™s hard. As one trading maxim goes, plan the trade and trade the plan. 13) Never fire all your bullets at once. 14) Never trade outside your comfort zone. If a position is too big, youโ€™ll start making fear-based decisions, thinking that market or someone is trying to liquidate you seeing ghosts where none exists. Size your trades proportional to the quality of your sleep at night. 15) Never let ego keep you in a bad trade. Admit when you're wrongโ€”cut, reset, move on. 16) Never underestimate market reflexivity. Strength can always go higher, weakness can always go lower. 17) Never assume liquidity will be there when you need it. The exit door is always smaller than you imagineโ€”liquidity isnโ€™t something you decide, the market does. 18) Never mistake randomness for strategy. Buying because price is going up or shorting because it โ€œfeels highโ€ isnโ€™t tradingโ€”itโ€™s blind betting. Even with good risk management, youโ€™ll bleed out over time if your entries are based on nothing. 19) Never make the same mistake twice. Trading mistakes are inevitable, repeating them is unacceptable. Never lose the same way twice 20) Never forget to play defense. Being wrong is acceptable, staying wrong is not. Protecting capital always comes first. "Donโ€™t focus on making money; focus on protecting what you have.โ€ 21) Never just focus on offense. Survival > everything. If you donโ€™t bet, you canโ€™t win. If you lose all your chips, you canโ€™t bet. 22) Never fall into lifestyle creep after one big win. The problem starts when you begin forecasting annual income based on a single lucky trade. 23) Never forget to turn defensive after a hot streak. Big losses come after a series of wins when overconfidence sets in. Check your egoโ€”your last big trade means nothing to the market. 24) Never let pride, ego, or overconfidence take over. Always stay humble.| 25) Never trade in situations where you donโ€™t have control. for eg. FOMC events 26) Never get complacent. A strategy that worked in one regime may stop working in another. Trading is a craft that requires continuous self-improvement. Comfort Is Often the Enemy of your PNL. Never assume you know for sure what the market will do. โ€œWe have two classes of forecasters: those who donโ€™t know โ€” and those who donโ€™t know that they donโ€™t know.โ€โ€‹ Never assume your edge is permanent. Markets evolve, edges fade, and what worked last cycle may be useless in the next. Keep refining, keep testingโ€”stagnation is death. 27) Never ever average losers after your reasoning has been invalidated 28) Never trade with certainty, trade with conviction. 29) Never assume the market โ€œmustโ€ do something, especially based on recent patterns.โ€‹The market doesnโ€™t owe you continuity or logic. Just because a market has been rising (or falling) steadily doesnโ€™t mean it canโ€™t abruptly reverse. Avoid words like โ€œsurelyโ€ or โ€œcanโ€™t possiblyโ€ in trading. Stay flexible โ€“ anything can happen. As a reminder: never say never about market behavior. 30) Never mistake win rate for everything. Maximizing winning trades for the sake of feeling good is a trap. Taking profits too early or avoiding necessary small losses ultimately hurts profitability. 31) Never underestimate discipline, patience, risk control, and execution over alpha generation. Plenty of traders have great alpha flow but donโ€™t know how to use it.Good execution involves choosing not just what and how to trade, but when not to trade. Sometimes the best execution decision is no trade at all if conditions arenโ€™t suitable. Always ask: โ€œDo I have an edge here, or am I flipping coins?โ€ If itโ€™s the latter, save your capital for a better spot. 32) Never fall apart after a big loss or get euphoric after a big win. Emotional resilience is a traderโ€™s strongest asset. 33)Never ignore price action after news. If the market reacts opposite to what you expected, get out. The market is telling you something you donโ€™t see. 34) Never trade on borrowed conviction. If you buy on someone elseโ€™s tip, youโ€™ll need them to call your exit tooโ€”and when they go silent, youโ€™re stuck. As Livermore said: โ€œNobody makes big money on what someone else tells him to do.โ€ Hone your own craft, build your own system. If you canโ€™t trust your own decisions, youโ€™re just a pawn in someone elseโ€™s trade. 35) Never go against your intuition. If something feels off, it usually is. 36) Never try to Catch Every Move Itโ€™s tempting to try to grab every up and down in the market, but thatโ€™s a foolโ€™s errand. Always come from the mindset of abundance and not scarcity, markets will still be there and there are ample opportunities in the market to make you whole, you donโ€™t need to swing at every pitch. 37) Never underestimate the power of failure. Failing early and failing oftenโ€”while staying in the gameโ€”is how you get better. 38) Never hold onto losers when your thesis is invalidated, especially after a massive drop. "Iโ€™ve lost too much to sell now" is how you go to zero. 39) Never let "getting back to break even" dictate your decisions. That mindset leads to overtrading and eventually, full liquidation. 40) Never focus only on entries. A trade isnโ€™t over until youโ€™ve exited. Knowing when to cash out is just as important as knowing when to enter. 41) Never ignore the โ€œboringโ€ part (position sizing, stops, risk/reward) โ€“ itโ€™s what keeps you in business.Donโ€™t wait for a catastrophic loss to teach you this lesson. 42) Never trade for the adrenaline rush, Trade for the win 43) Never fall into the illusion of strengthโ€”itโ€™s often just lagging behind reality. 44) Never stay/enter in a position out of 'HOPE' and wishful thinking 45) Never underestimate risk management. Prioritize protecting capital over chasing profits. "Take care of your losses, and the profits will take care of themselves." 46) Never exit/enter a position recklessly. The same way you scale in, you should scale outโ€”"all in, all out" is a recipe for disaster. 47) Never make a bet you canโ€™t afford to lose. No single trade should ever be big enough to take you out of the game.โ€œThe most important advice is to never let a loser get out of hand.โ€ You should be able to be wrong 20 or 30 times in a row and still have capital leftโ€‹. Never allow a single position to jeopardize your trading career 48) Never trade outside your edge. If itโ€™s not there, sit out. Forcing trades outside your framework is how accounts erode. 49) Never assume your edge is permanent. Markets evolve, edges fade, and what worked last cycle may be useless in the next. Keep refining, keep testingโ€”stagnation is death. 50) Never judge a trade solely by its outcome. Good trades lose money sometimes, and bad trades can get lucky. Focus on execution over results. 51) Never worry about looking stupid or staying in a position because of your public opinion. I have seen many a men die before their time because they were worried about getting publicly ashamed. Cut your losses without hesitation. The market doesnโ€™t care about your prideโ€”neither should you. 52) Never underestimate the power of stepping away. If youโ€™re in a losing streak, liquidate everything and take a break. Mental capital is just as important as financial capital. The key is to break the negative emotional spiral Once you come back keep your size small and increase exposure only when you gain back your confidence. These lessons were learned thanks to the books Iโ€™ve read, the smart traders Iโ€™ve learned from, and the endless mistakes Iโ€™ve made along the way. Trading is lonely. It hurts. It makes you question everything. But if I had to choose again? Iโ€™d still take this over everything.
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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Noisy
Noisy@noisyb0y1ยท
You can make consistent money if you understand repeating patterns and participant behavior Categories you need to know: - Broker / Execution edges - Factor edges (academic) - Information edges - Strategy / Process edges - Time-based edges The best traders don't use one edge - they combine them together and get a whole system that helps in trading.
Noisy tweet media
Aleiah@AleiahLock

x.com/i/article/2035โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Aleiah
Aleiah@AleiahLockยท
This is literally me when I read this guide and found freedom - now trading is not just a job for me, but a hobby which bring money. > Most traders have literally zero real edges and still dream of $10k/month. > The pros donโ€™t look for โ€œthe one edgeโ€. > They collect small, boring, reliable ones -and that becomes the actual moat. > Trading stops being stressful gambling once you start stacking real, provable advantages.
Aleiah@AleiahLock

x.com/i/article/2035โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Couch
Couch@papa_couchยท
M1 - you read news. You trade on gut feeling. Win rate 44%. Slow bleed. M2 - three formulas. EV. Kelly. Base rate. Win rate 58%. You stop losing. M3 - Random Forest. 100 trees. 38 features. Win rate 72%. First real edge. M4 - 10,000 simulations. CI [87.3%, 91.8%]. Not luck. Proven edge. M5 - XGBoost. 330 trees. Loss 0.891 โ†’ 0.094. Win rate 89.6%. Verified on 1,870 real trades. M6 - RL agent. 50,000 iterations. Trades 24/7. Learns from every move. You're no longer in the equation...
Noisy@noisyb0y1

x.com/i/article/2033โ€ฆ

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Alter Ego
Alter Ego@AlterEgo_ethยท
I found 10 free repositories for trading on Polymarket From connecting Claude directly to your account to real-time market analysis and research automation - all free and open-source 1. polymarket-mcp-server: connect Claude directly to Polymarket. 45 tools: market search, analysis, portfolio management and live trading GitHub: github.com/caiovicentino/โ€ฆ 2. last30days-skill: analyzes everything happening on the internet over the last 30 days and finds patterns. Your AI research assistant that helps decide what to bet on based on the latest news GitHub: github.com/mvanhorn/last3โ€ฆ 3. polymarket-assistant-tool: real-time data from Binance and Polymarket simultaneously. 11 indicators showing exactly where the market is heading right now GitHub: github.com/FiatFiorino/poโ€ฆ 4. Firecrawl: turns any website into clean data. Useful for monitoring news that moves markets GitHub: github.com/mendableai/firโ€ฆ 5. Tavily MCP: search built specifically for AI agents. Structured data instead of HTML noise GitHub: github.com/tavily-ai/taviโ€ฆ 6. GPT Researcher: autonomous research on any topic with a final report. Useful before major event markets GitHub: github.com/assafelovic/gpโ€ฆ 7. n8n: 400+ integrations, AI nodes. Pipeline: news parsing โ†’ filtering โ†’ Telegram alert, no code required GitHub: github.com/n8n-io/n8n 8. Huginn: self-hosted monitoring and alerts. Watches your sources 24/7 GitHub: github.com/huginn/huginn 9. pydantic-ai: type-safe agent framework for building production bots GitHub: github.com/pydantic/pydanโ€ฆ 10. fastmcp: MCP server in Python in minutes. Want your own Polymarket integration - start here GitHub: github.com/jlowin/fastmcp Know something useful that's missing - drop it in the replies RT/Like/Bookmark if this was helpful Follow me for more!
Alter Ego tweet mediaAlter Ego tweet mediaAlter Ego tweet mediaAlter Ego tweet media
Alter Ego@AlterEgo_eth

5 free ready-to-use scripts for trading on Polymarket If you want to automate trading on Polymarket - here's everything you need to get started From data recording and wallet analysis to a trading bot and ML model 1. Trading terminal: hotkeys, instant orders, PnL and Telegram alerts - no more wallet confirmations every 5 seconds GitHub: github.com/txbabaxyz/polyโ€ฆ 2. Data recorder: logs Polymarket and Binance simultaneously โ€” order book, trades, indicators, everything saved to files with a live dashboard GitHub: github.com/txbabaxyz/polyโ€ฆ 3. Trading bot: enters on the favorite ~4 minutes before market close with a stop-loss and position sizing based on a confidence formula GitHub: github.com/txbabaxyz/4coiโ€ฆ 4. Wallet analyzer: collects the full trade history of any wallet, splits by market and builds position accumulation charts GitHub: github.com/txbabaxyz/collโ€ฆ 5. ML model: 208 indicators via TAAPI, predicts market direction and calculates fair value GitHub: github.com/txbabaxyz/mlmoโ€ฆ All tools are free - run them through Claude to build a full bot or use them separately

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
Documenting Saylor
Documenting Saylor@saylordocsยท
100 YEARS WEโ€™VE BEEN WAITING FOR THIS YEAR 2026 IS A ONCE-IN-A-LIFETIME OPPORTUNITY
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Aleiah
Aleiah@AleiahLockยท
6 core formulas + real edges that top traders/bots are exploiting DAILY. >Stop guessing outcomes. >Start fading distortions & trading probability gaps. > LMSR Pricing (the market itself is a neural net) C(q) = b ร— ln(ฮฃ e^(qi/b)) p_i = e^(qi/b) / ฮฃ e^(qj/b) โ†’ Market price = current belief consensus (softmax-style). Exploit when it lags real info. > EV Gap (the simplest money printer) EV = (p_true - price) ร— payout or clean: EV = pฬ‚ โˆ’ p โ†’ If your modeled prob > market price by >5โ€“20ยข (after fees) โ†’ enter. Bots scan for >3ยข edge and auto-fire. > Bayesian Updates (refresh every 60s) log P(H|D) = log P(H) + ฮฃ log P(D|H) โ†’ New data (news, order flow, on-chain) โ†’ instant probability recalibration. No more "gut feel" outdated bets. > Net Signed Flow + RTS > 0.5 Net Flow > 2ร— avg vol + wide spread (>10ยข) โ†’ temporary overshoot โ†’ fade opposite side. โ†’ ~60% reversion in 15โ€“60 min on illiquid markets. > Order Book Imbalance > 0.3 (no follow-through) Imbalance = (bid qty โ€“ ask qty) / total qty โ†’ XGBoost says continuation only ~40% โ†’ rest reverts hard. Stack with flow/RTS โ†’ 8โ€“12% avg profit/trade. > Kelly Sizing (quarter-Kelly for survival) f* = (p b - q) / b โ†’ Bet fraction of bankroll based on edge + odds. Cap at 25% to avoid ruin. Real 2026 alpha drops from the trenches: One quant faded distortions โ†’ $180k+ PnL stacking EV Gap + flow + imbalance in high-vol/illiquid markets ($300โ€“1k/day on $10k bank). AI bot on 5-min BTC/ETH Up/Down โ†’ $3,591 in ONE day (236 trades, 93% winrate, tiny $0.5โ€“$90 sizes). Guy clustered 847 AI bots โ†’ copied the best โ†’ $103k in 1 week. Weather bot (forecast vs buckets) โ†’ consistent 5โ€“15% edge daily on undervalued temp ranges. Tiny agent trained on 25y resolved markets โ†’ $15โ€“25k/month live (59%+ acc, Sharpe 1.9โ€“2.4). One degen turned $338 โ†’ $83k in 1 day stacking adjacent ranges on Elon tweet counts (math, not luck).
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0xRicker@0xRicker

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montjuik Tabi ๐ŸŸง | Atleta ๋ฆฌํŠธ์œ—ํ•จ
hammertime
hammertime@hammertime_oneยท
Here are 6 core formulas hedge funds use to systematically extract alpha - with live charts so you can feel the math, not just read it. Formula 1: LMSR Pricing Model Price_i = e^(q_i/b) / ฮฃ e^(q_j/b) The AMM engine powering every Polymarket contract. The key variable is b - liquidity depth. When b < 50, buying 10 shares moves price by 5%+. That is your arb window before the market corrects. Formula 2: Kelly Criterion f* = (p ร— odds โˆ’ (1โˆ’p)) / odds Never size a bet on gut feel. Kelly maximizes geometric growth and tells you exactly what fraction of bankroll to risk. One rule: always use half-Kelly in practice. Full Kelly is theoretically optimal and practically ruins you. Formula 3: EV Gap EV = (p_true โˆ’ price) ร— (1/price) Only enter when your model beats the market by more than fees. EV > 0.05 is the minimum threshold. Below that, you are paying the spread to feel smart. Formula 4: KL-Divergence D_KL(Pโ€–Q) = ฮฃ P_i ร— log(P_i / Q_i) Scan correlated markets for probability inconsistencies. Vance at 21% and a correlated candidate at 17% - high KL signals a hedge opportunity. Threshold: > 0.20 is actionable. Formula 5: Kelly Bankroll Simulation B_n = B_0 ร— โˆ (1 + fร—odds)^wins ร— (1โˆ’f)^losses 100 bets. Same edge. Three strategies: full Kelly, half Kelly, quarter Kelly. The difference in drawdown is not linear - it is catastrophic. This chart is why fractional Kelly exists. Formula 6: Bayesian Update P(H|E) = P(E|H) ร— P(H) / P(E) Update your probability in real time as evidence arrives - a tweet, a poll, a news headline. Static models lose to dynamic ones in fast markets. Start with a prior, update on signal strength, re-evaluate position size via Kelly. The stack that actually works:Data โ†’ EV scan โ†’ Kelly sizing โ†’ Bayesian updates โ†’ repeat. Start with $500, backtest 3 months, scale when Sharpe > 1.5
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