voicegn

voicegn / polymarket-bot

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Automated trading bot for Polymarket prediction markets with LLM analysis and Telegram integration

15
19
100% credibility
Found Feb 04, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

An open-source Rust tool for researching Polymarket prediction markets via simulated trading, backtesting, and AI analysis, strictly for educational purposes with no real-money trading.

How It Works

1
📖 Discover the Tool

You hear about a free research tool that helps study prediction markets like Polymarket without risking real money.

2
⬇️ Get the Files

Download the ready-to-use files from the sharing site to your computer.

3
⚙️ Share Your Preferences

Copy a sample settings file and fill in your choices, like which AI helper to use and how careful to be.

4
🤖 Connect Smart Helper

Link a thinking service so it can analyze markets and spot good chances for you.

5
🧪 Practice Safely

Run pretend trades with fake money to test ideas and see what works best.

6
📊 Review Results

Check reports on wins, losses, and patterns to learn from your tests.

🎓 Learn Market Secrets

You now understand prediction market patterns and strategies through safe practice.

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Star Growth

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AI-Generated Review

What is polymarket-bot?

Polymarket-bot is a Rust-based automated trading bot for Polymarket prediction markets, pulling signals from Telegram channels, Twitter, and on-chain data while using LLMs like DeepSeek or Claude to estimate probabilities and spot edges. It executes trades via Polymarket's CLOB API with strategies like Kelly criterion sizing, copy trading top users, and compound growth, all managed through a CLI with dry-run and paper trading modes. Users get Telegram alerts for signals, trades, and PnL reports, solving the manual grind of scanning volatile prediction markets.

Why is it gaining traction?

Built for speed in Rust with 1000+ passing tests, it stands out as the best Polymarket bot GitHub has for automated trading with AI, offering institutional-grade risk controls like daily loss limits and position caps that most Python scripts lack. The Telegram integration and LLM-driven analysis hook devs tired of basic automated trading strategies, while paper trading scripts enable quick backtesting without real USDC risk. GitHub automated tests and CLI commands like `polymarket-bot markets` or `status` make iteration fast.

Who should use this?

Quant devs or researchers building automated trading systems on prediction markets, especially those experimenting with Polymarket arb bots or AI signal aggregation from social sources. Rust enthusiasts wanting a high-perf base for custom automated trading with AI, or traders validating strategies via extensive paper trading and backtest scripts before live deployment.

Verdict

Solid research prototype with strong test coverage and docs, but at 13 stars and 1.0% credibility, it's unmaintained—fork and tweak with AI tools as the README advises. Skip for production; great for learning Polymarket APIs and automated trading pipelines.

(198 words)

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