正在加载视频...

视频加载失败

返回首页

5 github repos that turned my AI ideas into a working Polymarket trading desk. +$300K in month. 1. guberm/polymarket-bot -> replaces a $200K/yr prop trading desk Claude ensemble + multi-provider mode. fractional Kelly. stop-loss, take-profit, edge-gone exits. 2. alsk1992/CloddsBot -> replaces 4 trading terminals ($300/mo each) 1000+ markets across...

zostaff's profile picture

zostaff

11,338 subscribers

18,706 次观看 • 4 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.
0:58

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.

AlphaCartel

108,121 次观看 • 4 个月前

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.
0:23

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

Recogard

14,162 次观看 • 3 个月前

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this
1:05

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

self.dll

361,846 次观看 • 4 个月前

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it
0:49

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

self.dll

803,521 次观看 • 4 个月前

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you
1:00

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

AdiiX

67,257 次观看 • 5 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.
0:46

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

28,174 次观看 • 4 个月前

How to Build and Turn $15k into $1.1M in 20 Days Using Arbitrage Bot Claude Bot scaled a deposit up to $1.1M By trading 5-min and 15-min markets on Polymarket Bot using this strategy: - Mispricing formula - Expected value calculation - Kelly Criterion sizing mispricing found → EV calced → kelly sizing → enter > 25,123 trades > 83.9% win rate > +1.1M profit > Biggest win 33K Check this profile here: Copytrading: If you wish to do the same I have outlined exactly how to create your own bot in my article Which is also where I told the story of how Claude turned $300 into 2.4M in 4 months This week I will write an article “Why your bot isn’t working and how to fix it” So follow and save this post
0:10

How to Build and Turn $15k into $1.1M in 20 Days Using Arbitrage Bot Claude Bot scaled a deposit up to $1.1M By trading 5-min and 15-min markets on Polymarket Bot using this strategy: - Mispricing formula - Expected value calculation - Kelly Criterion sizing mispricing found → EV calced → kelly sizing → enter > 25,123 trades > 83.9% win rate > +1.1M profit > Biggest win 33K Check this profile here: Copytrading: If you wish to do the same I have outlined exactly how to create your own bot in my article Which is also where I told the story of how Claude turned $300 into 2.4M in 4 months This week I will write an article “Why your bot isn’t working and how to fix it” So follow and save this post

AdiiX

33,954 次观看 • 5 个月前

Most traders spend thousands of dollars on tools. Meanwhile, free GitHub repos can replace almost everything - at zero cost. Bookmark this, so you don't lose it. 1. FinceptTerminal (+10.7K ★) • A real Bloomberg Terminal alternative - built in C++20 + Qt6. • 37 AI agents modeled after Buffett, Munger, and Graham. 🔗 2. TradingAgents (+1.5K ★) • Multi-agent trading system (UCLA/MIT research). • Fundamental + sentiment + technical + risk agents • Works with Claude, GPT, Gemini, Grok 🔗 3. last30days-skill (+1.4K ★) • AI agent skill for recent signal (last 30 days) across Reddit, X, YouTube, HN, Polymarket. 🔗 4. daily_stock_analysis (+31K ★) • LLM-powered stock analysis engine. • US + A-share + H-share markets • Daily dashboards with entry/exit levels • Auto delivery via Telegram, Discord, Email 🔗 5. QuantDinger (+919 ★) • Self-hosted AI quant OS. • Strategy generation + backtesting + live trading • Crypto, stocks (IBKR), forex (MT5) 🔗 6. HKUDS/Vibe-Trading (+611 ★) • Natural language → strategy → backtest → execution. • 70+ finance skills • Export to TradingView / MT5 🔗 7. freqtrade (+467 ★) • Open-source crypto trading bot. • Multi-exchange support • Backtesting + optimization • Telegram control 🔗 8. OpenBB (+447 ★) • Open-source Bloomberg Terminal alternative. • Stocks, crypto, options, macro • AI-native integrations (MCP) 🔗 9. 500 AI Agents Projects (+386 ★) • Curated collection of real-world AI agent use cases (including finance). 🔗 10. AlphaCartel Discord (+1280 ★) • 100% free community for AI traders:
0:37

Most traders spend thousands of dollars on tools. Meanwhile, free GitHub repos can replace almost everything - at zero cost. Bookmark this, so you don't lose it. 1. FinceptTerminal (+10.7K ★) • A real Bloomberg Terminal alternative - built in C++20 + Qt6. • 37 AI agents modeled after Buffett, Munger, and Graham. 🔗 2. TradingAgents (+1.5K ★) • Multi-agent trading system (UCLA/MIT research). • Fundamental + sentiment + technical + risk agents • Works with Claude, GPT, Gemini, Grok 🔗 3. last30days-skill (+1.4K ★) • AI agent skill for recent signal (last 30 days) across Reddit, X, YouTube, HN, Polymarket. 🔗 4. daily_stock_analysis (+31K ★) • LLM-powered stock analysis engine. • US + A-share + H-share markets • Daily dashboards with entry/exit levels • Auto delivery via Telegram, Discord, Email 🔗 5. QuantDinger (+919 ★) • Self-hosted AI quant OS. • Strategy generation + backtesting + live trading • Crypto, stocks (IBKR), forex (MT5) 🔗 6. HKUDS/Vibe-Trading (+611 ★) • Natural language → strategy → backtest → execution. • 70+ finance skills • Export to TradingView / MT5 🔗 7. freqtrade (+467 ★) • Open-source crypto trading bot. • Multi-exchange support • Backtesting + optimization • Telegram control 🔗 8. OpenBB (+447 ★) • Open-source Bloomberg Terminal alternative. • Stocks, crypto, options, macro • AI-native integrations (MCP) 🔗 9. 500 AI Agents Projects (+386 ★) • Curated collection of real-world AI agent use cases (including finance). 🔗 10. AlphaCartel Discord (+1280 ★) • 100% free community for AI traders:

AlphaCartel

30,801 次观看 • 4 个月前

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)
0:26

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

VALIX

18,880 次观看 • 29 天前

This guy built a trading bot with Claude and made $210,000 on Polymarket with an average trade size of $5.70 His bot makes 235 trades per hour, or 3.91 trades per minute, and trades the microstructure of short-term crypto Up/Down markets His strategy has six steps: 1. Records the asset’s opening price at the start of each market 2. Recalculates the probability of Up and Down based on live spot prices 3. Places limit orders across multiple price levels 4. When market momentum shifts, rebuilds the order grid and starts buying the opposite outcome 5. Hedges part of the original position while keeping directional exposure aligned with the current signal 6. In the final seconds, occasionally buys the nearly certain outcome at 98-99c This guy’s Polymarket account: Using this strategy, he consistently captures an edge and keeps growing his deposit
0:35

This guy built a trading bot with Claude and made $210,000 on Polymarket with an average trade size of $5.70 His bot makes 235 trades per hour, or 3.91 trades per minute, and trades the microstructure of short-term crypto Up/Down markets His strategy has six steps: 1. Records the asset’s opening price at the start of each market 2. Recalculates the probability of Up and Down based on live spot prices 3. Places limit orders across multiple price levels 4. When market momentum shifts, rebuilds the order grid and starts buying the opposite outcome 5. Hedges part of the original position while keeping directional exposure aligned with the current signal 6. In the final seconds, occasionally buys the nearly certain outcome at 98-99c This guy’s Polymarket account: Using this strategy, he consistently captures an edge and keeps growing his deposit

VALIX

79,237 次观看 • 2 个月前

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level
0:24

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level

zostaff

44,661 次观看 • 5 个月前

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h
0:31

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

m0h

253,313 次观看 • 3 个月前

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
0:32

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

101,880 次观看 • 26 天前

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.
0:20

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.

slash1s

154,546 次观看 • 5 个月前

This guy built a trading bot on Polymarket with Claude Result: +$187,955 in 3 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 6 core elements: 1. At the start of each new 5-minute market, it gets the starting BTC price and compares it with the price at the end of the interval 2. Then it uses an external data source and constantly estimates the probability of Up or Down 3. For the calculation, it uses volatility, short-term momentum, price change speed, trading volume, and order imbalance 4. After that, the algorithm compares its own probability estimate with the price on Polymarket and buys the undervalued outcome 5. If BTC reverses, the model starts seeing the opposite outcome as more likely and buys it 6. By the end of the market, it holds a certain amount of both Up and Down, but one side is overweighted, and the final imbalance becomes its directional position His Polymarket username: 0xAAAAA Using this strategy and clean execution, he turned $8.6k into $188k His best trades: $573.85 -> $2,400.00 (+318.23%) $801.35 -> $2,400.00 (+199.49%) $927.26 -> $2,600.00 (+180.39%)
0:26

This guy built a trading bot on Polymarket with Claude Result: +$187,955 in 3 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 6 core elements: 1. At the start of each new 5-minute market, it gets the starting BTC price and compares it with the price at the end of the interval 2. Then it uses an external data source and constantly estimates the probability of Up or Down 3. For the calculation, it uses volatility, short-term momentum, price change speed, trading volume, and order imbalance 4. After that, the algorithm compares its own probability estimate with the price on Polymarket and buys the undervalued outcome 5. If BTC reverses, the model starts seeing the opposite outcome as more likely and buys it 6. By the end of the market, it holds a certain amount of both Up and Down, but one side is overweighted, and the final imbalance becomes its directional position His Polymarket username: 0xAAAAA Using this strategy and clean execution, he turned $8.6k into $188k His best trades: $573.85 -> $2,400.00 (+318.23%) $801.35 -> $2,400.00 (+199.49%) $927.26 -> $2,600.00 (+180.39%)

VALIX

13,971 次观看 • 1 个月前

This guy built a trading bot on Polymarket with Claude Result: +$160,092 in 1.5 months His bot trades crypto Up/Down markets using temporal arbitrage, directional skew, and extreme-price buying His process looks like this: 1. Places limit orders on both sides 2. Buys cheap shares during sharp price swings 3. Builds an equal amount of Up and Down with a combined cost below $1 4. Then keeps a directional skew on the side his model sees as more likely 5. Near the end of the market, it can buy the almost-settled outcome at 95-99.9c or the cheap opposite side His Polymarket username: mo-money Using this strategy, he turned $20k into $160k and continues to grow his capital consistently His best trades: $175.84 -> $1,269.90 (+622.18%) $198.55 -> $1,140.35 (+474.33%) $293.46 -> $1,639.80 (+458.78%)
0:30

This guy built a trading bot on Polymarket with Claude Result: +$160,092 in 1.5 months His bot trades crypto Up/Down markets using temporal arbitrage, directional skew, and extreme-price buying His process looks like this: 1. Places limit orders on both sides 2. Buys cheap shares during sharp price swings 3. Builds an equal amount of Up and Down with a combined cost below $1 4. Then keeps a directional skew on the side his model sees as more likely 5. Near the end of the market, it can buy the almost-settled outcome at 95-99.9c or the cheap opposite side His Polymarket username: mo-money Using this strategy, he turned $20k into $160k and continues to grow his capital consistently His best trades: $175.84 -> $1,269.90 (+622.18%) $198.55 -> $1,140.35 (+474.33%) $293.46 -> $1,639.80 (+458.78%)

VALIX

23,439 次观看 • 1 个月前

Someone in r/algotrading posted a polymarket wallet with one comment: "sports markets are broken and nobody is talking about it" thread deleted in 10 minutes but i grabbed the wallet before it disappeared pulled the on-chain data and started building they hire 12 quant developers at $180k each i opened claude ($20/m) and said: "analyze this wallet's strategy and build me a similar system for trading live sports markets on polymarket" starting balance $100 a week ago current balance: $14,700 every trade is live sports, only during matches spent two days reverse engineering the pattern the logic is embarrassingly simple: live sports APIs update within 1-2 seconds of an event polymarket oracle checks every 10-20 seconds that gap is free money my bot runs on AWS EC2 for $120/month in Virginia latency <5ms to polymarket CLOB it pulls SportsRadar with 1-2 second delay and still finds edge the agent wrote the entire pipeline in one session: → async websocket listener on polymarket orderbook → SportsRadar live feed via httpx (non-blocking) → poisson probability model via scipy.stats → pre-cached lambda values in redis (<1ms lookup) → kelly criterion for position sizing (max 6% bankroll) → EIP-712 order signing, execution via polygon CLOB their infrastructure costs $2.4M/year mine costs $930/month $100 in the morning $1,730 by evening, and NFL example on video AI can build what used to take a team of 12
0:22

Someone in r/algotrading posted a polymarket wallet with one comment: "sports markets are broken and nobody is talking about it" thread deleted in 10 minutes but i grabbed the wallet before it disappeared pulled the on-chain data and started building they hire 12 quant developers at $180k each i opened claude ($20/m) and said: "analyze this wallet's strategy and build me a similar system for trading live sports markets on polymarket" starting balance $100 a week ago current balance: $14,700 every trade is live sports, only during matches spent two days reverse engineering the pattern the logic is embarrassingly simple: live sports APIs update within 1-2 seconds of an event polymarket oracle checks every 10-20 seconds that gap is free money my bot runs on AWS EC2 for $120/month in Virginia latency <5ms to polymarket CLOB it pulls SportsRadar with 1-2 second delay and still finds edge the agent wrote the entire pipeline in one session: → async websocket listener on polymarket orderbook → SportsRadar live feed via httpx (non-blocking) → poisson probability model via scipy.stats → pre-cached lambda values in redis (<1ms lookup) → kelly criterion for position sizing (max 6% bankroll) → EIP-712 order signing, execution via polygon CLOB their infrastructure costs $2.4M/year mine costs $930/month $100 in the morning $1,730 by evening, and NFL example on video AI can build what used to take a team of 12

Archive

81,744 次观看 • 6 个月前

THIS IS WHY CLAUDE MYTHOS WILL BE DANGEROUS Claude Opus 4.6 just proved how to turn those insane 5-minute high-leverage windows on Polymarket into an absolute cash printer. Same $1,000 starting capital. Same markets. Same 48-hour window. One Claude-powered bot turned it into $14,216 -> clean +1,322%. The other one? Vaporized straight to zero. It wasn’t about having a smarter forecast. It was about ironclad discipline baked straight into the code. > Kelly Criterion applied to every single position > Ruthless position-size caps > Automatic kill-switch the second drawdown hits the limit > Full shutdown the moment the math says "walk away" That’s exactly why I’m now copying the sharpest Polymarket performers on full autopilot through PolyGun in TG: including absolute monsters like the legendary [0x8dxd] bot from the article below. His profile: This is the same account that caught a 2-3 second latency gap between Binance and Polymarket, ran 98%+ win rate across tens of thousands of trades, and turned $313 into $2.38 million with military-grade risk management. The same principle MoonDev below is showing with Claude Opus 4.6: pure math (proprietary MACD filters, strict incubation phase) instead of emotional gambling in those lightning-fast contracts. Manual trading against machines like these is suicide in 2026. Save this post. The gap between printing money and getting completely wrecked has never been this obvious.
11:05

THIS IS WHY CLAUDE MYTHOS WILL BE DANGEROUS Claude Opus 4.6 just proved how to turn those insane 5-minute high-leverage windows on Polymarket into an absolute cash printer. Same $1,000 starting capital. Same markets. Same 48-hour window. One Claude-powered bot turned it into $14,216 -> clean +1,322%. The other one? Vaporized straight to zero. It wasn’t about having a smarter forecast. It was about ironclad discipline baked straight into the code. > Kelly Criterion applied to every single position > Ruthless position-size caps > Automatic kill-switch the second drawdown hits the limit > Full shutdown the moment the math says "walk away" That’s exactly why I’m now copying the sharpest Polymarket performers on full autopilot through PolyGun in TG: including absolute monsters like the legendary [0x8dxd] bot from the article below. His profile: This is the same account that caught a 2-3 second latency gap between Binance and Polymarket, ran 98%+ win rate across tens of thousands of trades, and turned $313 into $2.38 million with military-grade risk management. The same principle MoonDev below is showing with Claude Opus 4.6: pure math (proprietary MACD filters, strict incubation phase) instead of emotional gambling in those lightning-fast contracts. Manual trading against machines like these is suicide in 2026. Save this post. The gap between printing money and getting completely wrecked has never been this obvious.

slash1s

228,972 次观看 • 5 个月前

I BUILT THE FIRST BOT THAT ARBITRAGES BETWEEN POLYMARKET AND KALSHI SIMULTANEOUSLY $100 -> $5,214 in 24 hours 847 trades, zero directional risk polymarket and kalshi are the two biggest prediction markets both trade the same events but their pricing algorithms are different which means their prices drift apart the gaps are small - 3 to 8 c, but they happen constantly if you trade that difference automatically fast thousands of times the math starts working for you the bot spots the gap in milliseconds buys YES on polymarket at $0.61 sells YES on kalshi at $0.67 while people are still looking at the chart the bot already closed the trade and moved on they say arbitrage in prediction markets is impossible they say the spreads are too small they say the market is efficient $5,214 in one night says otherwise
1:00

I BUILT THE FIRST BOT THAT ARBITRAGES BETWEEN POLYMARKET AND KALSHI SIMULTANEOUSLY $100 -> $5,214 in 24 hours 847 trades, zero directional risk polymarket and kalshi are the two biggest prediction markets both trade the same events but their pricing algorithms are different which means their prices drift apart the gaps are small - 3 to 8 c, but they happen constantly if you trade that difference automatically fast thousands of times the math starts working for you the bot spots the gap in milliseconds buys YES on polymarket at $0.61 sells YES on kalshi at $0.67 while people are still looking at the chart the bot already closed the trade and moved on they say arbitrage in prediction markets is impossible they say the spreads are too small they say the market is efficient $5,214 in one night says otherwise

zostaff

67,361 次观看 • 6 个月前

🚨 HOW I BUILT A FULLY AUTOMATED TRADING BOT IN 34 MINUTES WITHOUT WRITING A SINGLE LINE OF CODE > One person built a trading bot in 34 minutes > Didn't write a single line of code manually > Just talked to Claude Code > The bot detects market regime on its own: bull, bear, sideways > Switches strategies for each regime automatically > 13 safety checks before every single trade > Stop-loss, circuit breakers, position limits, correlation check > Walk-forward backtest - not curve fitting, real simulation > Connected to Alpaca - free paper trading > 45 out of 45 tests passing > Full pipeline: data -> regime -> signal -> risk -> order -> log Hedge funds pay millions for this, He paid $0
34:17

🚨 HOW I BUILT A FULLY AUTOMATED TRADING BOT IN 34 MINUTES WITHOUT WRITING A SINGLE LINE OF CODE > One person built a trading bot in 34 minutes > Didn't write a single line of code manually > Just talked to Claude Code > The bot detects market regime on its own: bull, bear, sideways > Switches strategies for each regime automatically > 13 safety checks before every single trade > Stop-loss, circuit breakers, position limits, correlation check > Walk-forward backtest - not curve fitting, real simulation > Connected to Alpaca - free paper trading > 45 out of 45 tests passing > Full pipeline: data -> regime -> signal -> risk -> order -> log Hedge funds pay millions for this, He paid $0

zostaff

363,562 次观看 • 4 个月前