Whale bot printed $50k/week using Bayesian Update formula Start... with prior from Markov state history, update on micro-signals in real time → posterior becomes your edge probability Formula: P(H|E) = [P(E|H) × P(H)] / P(E) (H = hypothesis like "BTC up in next 5 min", E = new evidence: order flow spike + vol cluster) Check him -> - Target ultra-short BTC/ETH/SOL/XRP Up/Down windows (5–15 min) - Layer evidence: net buys >2σ, on-chain tx acceleration, cross-asset momentum delta - Only enter if posterior shifts >10–15% from market price → high-conviction micro-edge - 92,722 predictions = ~300 trades/day compounding at scale Small belief updates × 300 trades/day × geometric compounding = $50k/week Merlin just shipped Whale Autotrade It tracks every profitable whale and detects the entry the moment it executes, mirrors it to your account instantlyshow more

Chinese quant trader built Polymarket bot and turned $1.2K... → $275,038 in one month using one secret He runs two separate engines simultaneously his edge is a Bayesian Prior Update before each session: P(UP | session) = P(UP) × P(futures_signal | UP) / P(futures_signal) engine 1-4-hour and session windows most quants ignore these. too slow, too much can go wrong he uses them because on a 4-hour window price has structure. futures market has already priced in direction. funding rate signals imbalance. open interest shows where the money is sitting when overnight BTC futures close with positive bias + funding rate negative → he bets UP on the 8AM-12PM window engine 2-5-minute windows same EV formula, different signal. no macro input. pure price state transitions when UP + DOWN < $1.00 → buy both sides, lock the arb gap when one side trades below 15¢ with trend confirmation → directional bet, size with Kelly the two engines don't compete. long windows = high conviction, large size. 5-minute windows = high frequency, smaller size, compounding Profile:show more

Claude-built bot on Polymarket printed $400k in one month.... profile: it auto-trades btc/eth/sol 15-min ups/downs, spotting cex lags and inefficiencies. firing off 500+ trades/week at tiny edges but compounding like crazy. all from prompting Claude to spit code, no dev degree needed. small bets, high reps, zero emotion. if you're not automating yet, you're the liquidity.show more

This HFT bot is about to cross $1M profit... trading 5-min BTC markets and making $10,000/day I traced his trades using Claude → backtested the strategy on 72M trades dataset the edge is that he runs both sides of the same window at once, then lets a probability model decide where the real money is that's the floor. the edge on top is directional: edge = fair_prob - market_price for each window the bot estimates the true probability BTC moves a direction in the next few minutes then fades the crowd when the price disagrees. that's why his fills run from 21¢ longshots to 99¢ near-locks across BTC and ETH Profile:show more

The first time I've seen a bot that turned... $87 into $443,018 in just one month Nobody is watching this wallet and he makes $15.000+ every day 16,000 trades in 30 days = one prediction every 2.7 minutes, 24/7 His strategy: Trades 5-minute Up/Down windows across BTC, ETH, SOL, BNB and XRP simultaneously Enters at 73¢–96¢. Collects the spread to 100¢ momentum already committed - and loads just before resolution Fastest way to copy-trade him even with $10 using: Finds the window where momentum is locked That's a money printer with a Polymarket API key Profile:show more

S o p h i e o p h... i eshow more

It worked... Gave Claude $20. Gave it 4 prompts... and left it coding overnight. Woke up to: 1) finished script 2) +$102 from first 6 trades Didn't touch anything. Then I found this wallet: ohanism / 0x890...beb $167,439.86 profit 44,462 predictions $2,369 biggest win Started Feb 2026 What made me stop cold: Not just BTC. BTC. ETH. XRP. SOL. Same 15-minute window logic. Four assets simultaneously. Examples: $373 → $2,636 (+605%) ETH $122 → $1,116 (+809%) SOL $1,583 → $3,953 (+149%) BTC One equation. Four assets. Running while you sleep. Framework I gave Claude: 1. Multi-asset window mapping Find 15-min windows across BTC, ETH, XRP and SOL with >68% directional bias. Score each asset independently. 2. Cross-asset Kelly sizing f* = (p × b − q) / bSize each asset by its own confidence score. Never treat them equally. 3. Correlation filter If BTC and ETH signals fire simultaneously — reduce ETH size by 50%. Correlated losses kill accounts. 4. Bayesian updates Each settled trade recalibrates that asset's window score. Four assets learning in parallel. Claude built everything in 35 minutes. Funded with $20. Fired in 4 minutes. This is the wallet I copied: 0x89b5cdaaa4866c1e738406712012a630b4078beb Copy trade him here: While you read this it placed 3 more trades. Follow. The edge doesn't wait.show more

I found a Polymarket account that made $393k profit... in 20 days with a single strategy: 5-minute Up/Down His entire strategy sits in one range: {7¢ – 22¢} Every entry between 7.6¢ and 21.7¢ outcomes the market gives less than 22% chance but the oracle already confirms at 80% Here's how: > Chainlink oracle updates BTC price > bot compares to Polymarket 5-min odds > sees divergence real probability 82%, market still at 7.6¢ > enters in milliseconds > 5 minutes later resolved > $918 becomes $5,732 > bot resets. next window in 5 minutes Start copy-trading any trader even with $10 → The math: 12,184 trades ÷ ~20 days = 609 trades/day $393,045 ÷ 20 = $19,652/day $19,652 ÷ 609 = $32.27 avg profit per tradeshow more

One trader printing money with ClawdBot I’m not exaggerating.... What he built is pretty wild: He auto-trades BTC / ETH Focused on 15-minute up/down moves Catching CEX lags and inefficiencies No Wall Street setup No big team Just smart automation Profile: Copytrade: How it works: Short-term moves The system trades 15-minute ups and downs on major coins. It’s not long-term investing - it’s micro-timing. Exchange inefficiencies It looks for small price lags on CEXs and reacts fast. When there’s a mismatch, it jumps in. Scale & frequency 500+ trades per week. Each trade targets tiny edges. Those small gains stack and compound. The surprising part All of it came from prompting Claude to generate code. No dev degree needed. Bottom line High frequency Small edges Heavy compounding Automation over emotion.show more

a Russian mathematician died in 1922. His math just... made a bot $468,228 on Polymarket in 30 days. Andrey Markov never saw a prediction market. He built the exact tool to dominate them. [Bonereaper] runs BTC/ETH 1-hour windows. 1,500-2,900 shares per trade. 14,671 trades total. Two conditions. Both must fire simultaneously: Δ = p̂ − q ≥ 0.05 -> gap exists. p(j*, j*) ≥ 0.87 -> state is stable. Both true? Position entered. Every minute. 24/7. The edge: humans sleep. Markets don't. At 3AM nobody watches a 5-min BTC window. The gap widens. The bot enters. His profile: His wallet: 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 copy trades live from $10 -> Save this alpha.show more

A whale has just opened $40 million BTC short... and $40 million ETH short with 20x leverage. In the past month, this whale has made $5,000,000. But his last 4 trades were all losses. Liquidation prices: BTC: $73,717 ETH: $2,243 Does he know something or is it just a degen?show more

How you can build a Polymarket BTC trading engine... with Claude to $1000/day print > RSI (context) + MACD (momentum) + Stochastic (timing) + EMA (structure) + OBV (confirmation) + VWAP (value) + Volatility (filter) = a bot that stops guessing and executes a framework Build v1: signal-based engine • Use RSI, ATR and cross-exchange price divergence to catch whale moves • Subscribe to Polymarket's order book WebSocket for real-time data • Minimize API calls. Let the WebSocket do the heavy lifting • This approach works around 95% of the time • The remaining 5% will cost you serious money if you hold to resolution Fastest way to copy-trade him even with $10 using: The edge No strategy wins forever Patterns only appear during specific windows of the day Your job: find the window. Trade only then AI alone won't write a strategy for you You need to train it on your own order book data firstshow more

A Russian mathematician died in 1922. His math just... made 3 anonymous bots $1,331,821 in 30 days on Polymarket. Andrey Markov never saw a prediction market. He built the exact tool to destroy them. Here's the cheat code -> The model doesn't predict. It measures. Two conditions. Both must fire simultaneously: Δ = p̂ − q ≥ 0.05 -> gap exists p(j*, j*) ≥ 0.87 -> state is stable If both are true -> position entered. One function. Runs every minute. 24/7. Three bots. Three styles. One principle: - 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 -> 1,500-2,900 shares, BTC/ETH 1h windows -> 14,339 trades -> $454,834. - 0xe1d6b51521bd4365769199f392f9818661bd907c -> dual-mode EV, best single trade +54.6% -> $432,591. - 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82 -> 5 assets, 1 trade per 1.7 min, σ−55% -> $444,396. The formula behind all three: V_T = V₀ · e^(N · r̄) At 16,000 trades and 0.034% per trade -> ×240 growth. Math doesn't care about your conviction. Only about N. The edge? Humans sleep. Markets don't. At 3AM nobody's watching a 5-min BTC window. The gap widens. The bot enters. You don't have to build the bot. You just have to follow it. -> Copy all 3 wallets live, starting from $10: (Just add the wallets I attached above). Save this list.show more

"WTF Are You Doing? You're not a meteorologist!" I... shifted my laptop toward her: $450 → $12,420 Polymarket prices look like a pure softmax, the same engine Claude uses to weigh its next token So I fed the model two equations and a watchlist of 80 live contracts: f* = (p · b − q) / b P(H|E) = P(E|H) · P(H) / P(E) It doesn't read the news. It measures the differential The weather station says 92% rain. The market is pricing 78% That 14-cent edge? It takes it No vibes. No narrative. Just arithmetic It pings every hour. 72 out of 80 times, the answer is: PASS But when the gap clears 7%, it sizes via Kelly, executes the trade, and goes back to sleep One contract sat at 0.28 for three days while the fair price was 0.46 The bot waited anyway. Resolved YES Win Rate: 69.9%. It's wrong a full third of the time and still prints, because Kelly scales the winners harder than the losers Most wallets bleed out chasing feelings. A formula can't panic! (One script. Freshman-level math. 812 trades so far) My friend still insists I'm being weird about the weather The bot cleared $59.47 while he was saying it Drop a like. I'll show you how to build your own bot here:show more

OpenClaw-built liquidity bot on polymarket printed $115k in one... week provides liquidity across btc/eth/xrp/sol 15-min windows, both sides of order book buy down 80-83¢ → sell up 15-20¢ positions $60 12 orders in 4 minutes on same market 13,014 bets since december $113k this week $583k this month ~$1M total tiny spreads, infinite patience, zero hesitation the bot literally complained about rsi from too much clicking manual traders = its revenue streamshow more

H E L P M E !

Free ClawdBot is printing money on Polymarket The script... made about $460,000 - pretty crazy result It auto-trades BTC and ETH, focusing on 15-minute up and down moves and catching small delays and inefficiencies on centralized exchanges. No insider tools Just a smart automated script Profile: Copytrade: How it works Short-term moves The bot focuses on very short time frames - mostly 15-minute price direction on major coins. This is not long-term investing, it’s fast micro-trading. Exchange inefficiencies It watches centralized exchanges for tiny price gaps or delays and reacts instantly when an opportunity appears. Scale and frequency 500+ trades per week. Each trade aims for a very small profit, but over time those small gains add up and compound. The surprising part Most of the logic was created by prompting AI to generate the code - no developer degree needed. Bottom line High frequency Small edges Strong compounding Automation over emotionshow more

The best Polymarket Quant bot for copy-trading with a... 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓show more

Hail, hail Mother Mahalakshmi! H a i l M... o t h e r L a k s h m i, b y w h o s e g r a c e h a p p i n e s s, p r o s p e r i t y a n d u n b r o k e n g o o d f o r t u n e s h o w e r u p o n t h e h o m e a n d c o u r t y a r d O Mother Lakshmi,seated on🙌 Grokshow more

Hail, hail maa Mahalakshmi! H a i l M... o t h e r L a k s h m i, b y w h o s e g r a c e h a p p i n e s s, p r o s p e r i t y a n d u n b r o k e n g o o d f o r t u n e s h o w e r u p o n t h e h o m e a n d c o u r t y a r d O Maa Lakshmi, seated on the lotus, Grokshow more