dexoryn-china

dexoryn-china / polymarket-arbitrage-bot

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Polymarket 机器人 Polymarket 交易机器人 Polymarket 套利机器人 Polymarket AI机器人 Polymarket AI交易机器人 polymarket bot polymarket trading bot polymarket arbitrage bot polymarket AI agent trading bot Polymarket 机器人 Polymarket 交易机器人 Polymarket 套利机器人 Polymarket AI机器人 Polymarket AI交易机器人 polymarket bot polymarket trading bot polymarket arbitrage bot polymarket AI agent

ai aiagent arbitrage arbitragebot bot
42
57
69% credibility
Found May 30, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Polymarket AI Trading Bot is an autonomous system that discovers prediction markets, researches evidence from web sources, uses multiple AI models to forecast probabilities, and executes trades with built-in risk controls. It defaults to paper trading and requires explicit user confirmation before placing real orders. The system includes 15+ pre-trade safety checks, tracks smart-money wallet activity, monitors drawdown levels, and provides a real-time dashboard for oversight. It is designed for people who want to participate in Polymarket prediction markets without manually researching hundreds of markets themselves.

How It Works

1
🔍 You discover prediction markets

You hear about Polymarket and want to explore trading on real-world events like elections, economics, and sports.

2
🤖 You set up your trading assistant

You download the bot and connect it to your computer. Everything is pre-configured to run safely in simulation mode first.

3
🧠 Your assistant researches markets automatically

Instead of manually hunting for information, your bot scans hundreds of markets, reads news from trusted sources, and forms its own opinions.

4
⚖️ AI models debate and agree on probabilities

Three different AI systems each look at the evidence and estimate the odds. They compare their views and reach a consensus.

5
Safety gates check everything before trading
📊
Paper trading (default)

You practice with simulated trades and watch your dashboard to see how the system performs.

💰
Live trading (requires three unlocks)

You consciously enable real money mode and confirm your intent before the bot places actual orders.

6
📈 You watch your dashboard and track results

A live dashboard shows your positions, profits, losses, and risk status. The bot learns from past trades to improve over time.

🎯 You make informed decisions with less stress

Instead of frantically checking hundreds of markets yourself, you oversee an automated system that researches, analyzes, and alerts you to opportunities.

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AI-Generated Review

What is polymarket-arbitrage-bot?

This is an autonomous Python trading agent for Polymarket prediction markets. It scans active markets, researches evidence from primary sources, generates probability forecasts using a three-model AI ensemble, and executes trades with layered risk controls. The full pipeline runs continuously: discovery, research, forecasting, risk checks, position sizing, and execution. It ships with a 9-tab Flask dashboard, CLI commands for one-off tasks, and Docker support. Paper trading is the default -- real money requires explicitly unlocking three independent safety gates.

Why is it gaining traction?

The hook is end-to-end autonomy combined with serious risk management. Rather than mirroring another wallet, the agent forms independent probability estimates and sizes positions using fractional Kelly criteria with adaptive multipliers for volatility, drawdown, and market regime. The whale-tracking layer that monitors top Polymarket traders and adjusts edge calculations is genuinely useful for distinguishing signal from noise. A 9-tab dashboard makes the whole system observable without grepping log files. The triple dry-run gate (order flag, config flag, environment variable) means you cannot accidentally lose money.

Who should use this?

Prediction market traders who want systematic coverage of hundreds of markets without manual research and pricing. Quantitative developers building or evaluating trading strategies on Polymarket will find the risk management layer and analytics engine most valuable. Researchers studying AI forecasting accuracy get calibration feedback loops and per-model Brier score tracking. Casual traders looking for a set-and-forget bot should look elsewhere -- this requires configuration, API keys, and oversight.

Verdict

The architecture is solid and the feature set is comprehensive, but with only 42 stars and a credibility score of 0.7%, this is an early-stage project from an unknown author. Documentation is thorough and the CLI is well-designed, but test coverage is unclear and the Chinese-language README suggests a niche or regional audience. Worth exploring for its design patterns and risk management approach, but do not trust it with real capital without significant auditing and paper trading first.

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