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Someone bought Pyth API access & built a trading edge without a quant team. - 1ms latency, 400x faster than Polymarket - No models, no engineers, no complex infra - One bot, one trade a day, catches end-of-market price diff

0xMarioNawfal

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63,811 次观看 • 2 个月前 •via X (Twitter)

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one Polymarket account quietly turned $50 into $435,000 no one talked about it i reverse‑engineered it and asked Claude to build a similar bot using the same strategy one prompt, 40 minutes, done polymarket updates BTC contract prices slower than real price feeds → the bot pulls BTC predictions from TradingView + CryptoQuant → catches the moment when Polymarket lags by >0.3% → executes in <100ms before the market catches up → 1000+ orders per second, 0.3-0.8% per trade risk: 0.5% per trade, 2% daily cap it brings in $400‑700/day runs locally no cloud, no GPU written in Rust how long do you think the bot era will last?

one Polymarket account quietly turned $50 into $435,000 no one talked about it i reverse‑engineered it and asked Claude to build a similar bot using the same strategy one prompt, 40 minutes, done polymarket updates BTC contract prices slower than real price feeds → the bot pulls BTC predictions from TradingView + CryptoQuant → catches the moment when Polymarket lags by >0.3% → executes in <100ms before the market catches up → 1000+ orders per second, 0.3-0.8% per trade risk: 0.5% per trade, 2% daily cap it brings in $400‑700/day runs locally no cloud, no GPU written in Rust how long do you think the bot era will last?

self.dll

2,811,591 次观看 • 4 个月前

another Polymarket account quietly turned $50 into $625,000 no one talked about it He’s profile Attentive i reverse‑engineered it and asked Claude to build a similar bot using the same strategy one prompt, 40 minutes, done polymarket updates BTC contract prices slower than real price feeds → the bot pulls BTC predictions from TradingView + CryptoQuant → catches the moment when Polymarket lags by >0.3% → executes in <100ms before the market catches up → 1000+ orders per second, 0.3-0.8% per trade risk: 0.5% per trade, 2% daily cap it brings in $400‑700/day runs locally no cloud, no GPU written in Rust how long do you think the bot era will last? Profile and copytrading him:

AdiiX

571,894 次观看 • 3 个月前

A trader reportedly turned $200 into nearly $700K in 48 hours with a Claude-powered system almost nobody understands yet. No indicators. No influencers. No guessing. The bot runs thousands of simulations before it even touches a trade. That’s why this market is changing fast. Most traders still stare at candles hoping for a setup… while others are already running probability models against the market before price even moves. Copy: One guy copied the framework and reportedly made ~$19K in a few weeks. The scary part? The edge is no longer prediction. It’s whoever processes probabilities faster than everyone else.

A trader reportedly turned $200 into nearly $700K in 48 hours with a Claude-powered system almost nobody understands yet. No indicators. No influencers. No guessing. The bot runs thousands of simulations before it even touches a trade. That’s why this market is changing fast. Most traders still stare at candles hoping for a setup… while others are already running probability models against the market before price even moves. Copy: One guy copied the framework and reportedly made ~$19K in a few weeks. The scary part? The edge is no longer prediction. It’s whoever processes probabilities faster than everyone else.

Phantom_Defi

16,391 次观看 • 1 个月前

Introducing Flow: trade on-chain in a flow, not a race. A new on-chain spot market built around continuous clearing, where limit orders match around one shared market price with live fills over time. No LPs. No market makers. No solvers. Testnet launches this June on Igra Labs

Introducing Flow: trade on-chain in a flow, not a race. A new on-chain spot market built around continuous clearing, where limit orders match around one shared market price with live fills over time. No LPs. No market makers. No solvers. Testnet launches this June on Igra Labs

Zealous Swap

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at the end of the day no one loves a stray kid member more than stray kids themselves

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femmie

22,178 次观看 • 2 个月前

A 34-year-old walked away from a $120K/year oil trading desk job at NYMEX… …and one month later pulled $260K trading oil with an algo bot on Polymarket. No hype. No guessing. Just pure math. He built a 6-layer “brain” that cycles through data, probabilities, and execution — every single trade is calculated, repeatable, and emotionless. No gut feelings. No random entries. Just edge. Even low liquidity? Doesn’t matter. He uses merge + split mechanics to scale size without breaking the market. On Wall Street, he was competing against elite quant teams with million-dollar infrastructure. Here? It’s mostly a handful of sharp traders… and people betting on vibes. I had Claude help me break down his entire system step-by-step. You can build this too. Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM You)

A 34-year-old walked away from a $120K/year oil trading desk job at NYMEX… …and one month later pulled $260K trading oil with an algo bot on Polymarket. No hype. No guessing. Just pure math. He built a 6-layer “brain” that cycles through data, probabilities, and execution — every single trade is calculated, repeatable, and emotionless. No gut feelings. No random entries. Just edge. Even low liquidity? Doesn’t matter. He uses merge + split mechanics to scale size without breaking the market. On Wall Street, he was competing against elite quant teams with million-dollar infrastructure. Here? It’s mostly a handful of sharp traders… and people betting on vibes. I had Claude help me break down his entire system step-by-step. You can build this too. Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM You)

Marry Evan

15,833 次观看 • 2 个月前

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

82,812 次观看 • 2 个月前

This guy built a trading bot with Claude and made $143,000 on Polymarket His bot trades mispricings in short crypto Up/Down markets with a median trade size of $7.19 and an average edge of 2.0% It builds positions with limit orders and hedges part of the volume His strategy is simple: > Tracks BTC/ETH/SOL/XRP price movements and compares them with Polymarket prices > Enters a trade when Polymarket probabilities look undervalued > Buys the opposite outcome as a hedge or builds an arbitrage position This guy’s Polymarket account: With this strategy and clean execution, he keeps steadily growing his deposit

This guy built a trading bot with Claude and made $143,000 on Polymarket His bot trades mispricings in short crypto Up/Down markets with a median trade size of $7.19 and an average edge of 2.0% It builds positions with limit orders and hedges part of the volume His strategy is simple: > Tracks BTC/ETH/SOL/XRP price movements and compares them with Polymarket prices > Enters a trade when Polymarket probabilities look undervalued > Buys the opposite outcome as a hedge or builds an arbitrage position This guy’s Polymarket account: With this strategy and clean execution, he keeps steadily growing his deposit

VALIX

56,217 次观看 • 1 个月前

Trading tokens on $BNB Chain with a bot sounds difficult — until you try it. No browser tabs. No switching wallets. Just a few taps in a Telegram chat... Floki Trading Bot is actually one of the few trading bots that has native support for BNB Chain!

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FLOKI

57,607 次观看 • 1 年前

I gave Claude one prompt and it built me a bot that turned $200 into $14,000 on Polymarket No insider info, no lucky guess Just one equation nobody reads - and a bot that runs it 24/7 The price on Polymarket isn't set by people It's set by one formula - LMSR. You trade against pure math, not traders C(q) = b × ln(Σ e^(qi / b)) Someone buys 50 YES shares → price jumps from 50¢ to 62¢ It's softmax — same math GPT uses to pick the next word. Not a coincidence Then I found b — the liquidity parameter b = 50 → one whale swings the market 20% b = 100,000 → barely moves Half my old trades were in thin pools. One order wrecked my fill How much to bet? Kelly criterion f* = (p × b − q) / b 60% edge → Kelly says 20%. Pros use quarter-Kelly → 5% Not exciting. But you won't blow up Last piece. Price impact Contract at 40¢. You buy 1,000 shares - price climbs to 60¢ The edge disappears before you're filled I fed all of this into Claude. One prompt. 40 minutes. The bot checks b, sizes with Kelly, models impact - and executes before I finish my coffee b filters the pool. Kelly sizes the bet. Impact curve tells me where the edge dies I don't predict outcomes. The bot just reads the math

I gave Claude one prompt and it built me a bot that turned $200 into $14,000 on Polymarket No insider info, no lucky guess Just one equation nobody reads - and a bot that runs it 24/7 The price on Polymarket isn't set by people It's set by one formula - LMSR. You trade against pure math, not traders C(q) = b × ln(Σ e^(qi / b)) Someone buys 50 YES shares → price jumps from 50¢ to 62¢ It's softmax — same math GPT uses to pick the next word. Not a coincidence Then I found b — the liquidity parameter b = 50 → one whale swings the market 20% b = 100,000 → barely moves Half my old trades were in thin pools. One order wrecked my fill How much to bet? Kelly criterion f* = (p × b − q) / b 60% edge → Kelly says 20%. Pros use quarter-Kelly → 5% Not exciting. But you won't blow up Last piece. Price impact Contract at 40¢. You buy 1,000 shares - price climbs to 60¢ The edge disappears before you're filled I fed all of this into Claude. One prompt. 40 minutes. The bot checks b, sizes with Kelly, models impact - and executes before I finish my coffee b filters the pool. Kelly sizes the bet. Impact curve tells me where the edge dies I don't predict outcomes. The bot just reads the math

rari

52,186 次观看 • 4 个月前

i build a polymarket trading bot. took an old abandoned repo, rewrote 90% of it. name: zostaff repo: mit. python 3.12+. py-clob-client with eip-712 signed orders. usdc.e on polygon. three strategies in the box: AI Directional (llm via openrouter, any model), Safe Compounder (pure edge math, no llm), Beast Mode (aggressive, kept for comparison). most "ai bots" for polymarket on github are abandoned templates with hardcoded losing strategies. this one ships with a streamlit dashboard, sqlite telemetry on every trade, fallback chain across llm models, circuit breaker at 15% drawdown, quarter-kelly default, paper trading mode by default - until you flip LIVE_TRADING_ENABLED=true, nothing goes live. the readme has a section called "Lessons From Live Trading". real numbers from real losses: three-quarter kelly destroys capital on a 45% win-rate strategy. category discipline beats ai confidence every single time. a 50% drawdown limit isn't a limit. more trades without edge = faster path to zero. this is not a turnkey bot. nobody on polymarket is selling a turnkey bot that works. it's a toolkit with three example strategies you fork to fit your own edge. if you don't have an edge - no llm will save you. if you do - run paper mode for a week before flipping live.

i build a polymarket trading bot. took an old abandoned repo, rewrote 90% of it. name: zostaff repo: mit. python 3.12+. py-clob-client with eip-712 signed orders. usdc.e on polygon. three strategies in the box: AI Directional (llm via openrouter, any model), Safe Compounder (pure edge math, no llm), Beast Mode (aggressive, kept for comparison). most "ai bots" for polymarket on github are abandoned templates with hardcoded losing strategies. this one ships with a streamlit dashboard, sqlite telemetry on every trade, fallback chain across llm models, circuit breaker at 15% drawdown, quarter-kelly default, paper trading mode by default - until you flip LIVE_TRADING_ENABLED=true, nothing goes live. the readme has a section called "Lessons From Live Trading". real numbers from real losses: three-quarter kelly destroys capital on a 45% win-rate strategy. category discipline beats ai confidence every single time. a 50% drawdown limit isn't a limit. more trades without edge = faster path to zero. this is not a turnkey bot. nobody on polymarket is selling a turnkey bot that works. it's a toolkit with three example strategies you fork to fit your own edge. if you don't have an edge - no llm will save you. if you do - run paper mode for a week before flipping live.

zostaff

28,089 次观看 • 2 个月前

I showed my Polymarket latency bot to a quant friend. He quit his job the next week. $800 → $5,000. Pure latency arbitrage. The bot doesn’t predict outcomes. It’s simply 200 milliseconds faster than the market. The formula is simple: P = Σ(ΔOdds × Size) / Latency_gap The bigger the gap, the better the entry. What’s running under the hood: Connected via API to live sports and political data feeds Receives match results and vote counts before they appear on Polymarket Enters using the Kelly criterion milliseconds before the spread closes Exits automatically once the market converges Win rate: 73% Sharpe ratio: 2.24 About 57 trades per hour Every trade exists inside a ~200 millisecond window. Most people analyze charts. The bot analyzes latency. Charts can be misleading. Milliseconds can’t. Copy trades → you were reading this, the bot likely already closed several more positions.

I showed my Polymarket latency bot to a quant friend. He quit his job the next week. $800 → $5,000. Pure latency arbitrage. The bot doesn’t predict outcomes. It’s simply 200 milliseconds faster than the market. The formula is simple: P = Σ(ΔOdds × Size) / Latency_gap The bigger the gap, the better the entry. What’s running under the hood: Connected via API to live sports and political data feeds Receives match results and vote counts before they appear on Polymarket Enters using the Kelly criterion milliseconds before the spread closes Exits automatically once the market converges Win rate: 73% Sharpe ratio: 2.24 About 57 trades per hour Every trade exists inside a ~200 millisecond window. Most people analyze charts. The bot analyzes latency. Charts can be misleading. Milliseconds can’t. Copy trades → you were reading this, the bot likely already closed several more positions.

Discover

43,198 次观看 • 4 个月前

No one understood a composer's vision faster, and no one poured more focus into a song than SPB. Celebrating the life, friendship, and the unmatched achievement of 50,000 songs. Happy Birthday, SPB.

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528,937 次观看 • 1 个月前

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New on PolyTech: /nothingeverhappens. Outside of sports, 73% of Polymarket markets resolve NO. The house edge is built into reality itself. The command pulls a random active market and lets you buy NO with a single tap. No research, no hesitation. Bet against the hype. The base rate is on your side. /nothingeverhappens. Live now.

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This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

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161,129 次观看 • 8 个月前

Quant from CERN built a model that catches market shocks when everyone panics, it profits the most But when to enter is a separate problem. Math already solved it: R = N/e ≈ 0.37 × N* > skip the first 37% of entry points > then take the first one better than anything you've seen > random entry: 1–10%, optimal: ~37% Good model + right timing = the line between catching a soft breach early and discovering the edge died eight months ago trade:

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POLYMARKET INSIDER TRACKER: I built an insider detection tool for Polymarket. It maps every wallet betting on a market, flags coordinated clusters and shows you real onchain positions in one click. Launching: Pick any market and: > See every whale, insider and sybil ring on the map > Click a bubble - Polymarket profile - positions - trades > Identify coordinated entries before the price moves. What it can do: > Visualize 200+ real onchain wallets per market in a live force-directed bubble map > Click any bubble and get cost basis, P&L, win rate, trade history, link to their Polymarket profile > Live whale-feed ticker showing every recent BUY / SELL on the market Example flow: You're scrolling Polymarket. A market is trading at 14¢. You open PolyMaps. There's a tight cluster of 7 wallets, all glowing orange. You click one: "Bought $14K @ 13¢, 2h ago." Click another. Same outcome. Same time. Same price. You're watching a coordinated entry in real time. 20 minutes later, the market is at 38¢. Building in public.

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"Are we looking at the beginning of a potential dynasty in Oklahoma City?" Michael Wilbon: "No. No. No... Are people not paying attention?... Every team is one contract dispute, one locker room dispute, & one snapped Achilles away from a 4th-place finish & a 2nd-round exit..."

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