zostaff

zostaff / poly-trading-bot

Public
14
1
100% credibility
Found May 04, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source Python toolkit for creating AI-driven automated trading bots on Polymarket prediction markets, featuring clients, dashboards, risk tools, and example strategies.

How It Works

1
🔍 Discover the prediction market helper

You hear about a smart toolkit that uses AI to automatically bet on events like elections or sports outcomes on Polymarket.

2
📥 Get the free toolkit

Download the simple program to your computer and follow the easy setup guide.

3
💳 Connect your betting wallet

Link your Polymarket account so the AI can see your balance and place smart bets for you.

4
Choose your starting mode
🧪
Practice mode

Test everything with pretend money to see how it works safely.

🚀
Real betting

Start making actual bets with your money right away.

5
📊 Watch the live dashboard

Open the colorful screen that shows your bets, profits, and AI thinking in real-time.

6
⚙️ Tweak and improve

Adjust settings like bet sizes or risk levels based on what you see working best.

💰 Enjoy smarter betting

Your AI helper now trades automatically, helping you win more often while you relax.

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Star Growth

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AI-Generated Review

What is poly-trading-bot?

Poly-trading-bot is a Python toolkit for automated trading on Polymarket prediction markets. It handles CLOB order signing, market discovery, USDC balance checks on Polygon, position tracking with exits, SQLite logging, and a Streamlit dashboard for P&L and decisions. Run via CLI commands like `cli.py run` for AI-driven directional trades, edge-based safe compounding, or paper mode simulation, with pluggable LLM support via OpenRouter for market analysis.

Why is it gaining traction?

This poly trading bot stands out with end-to-end plumbing for Polymarket—ingestion, decisions, execution, and monitoring—without forcing a single strategy. Developers fork the three examples (AI directional, safe compounder, aggressive beast mode) and tweak via config, getting live/paper modes, risk circuit breakers, and cost tracking out of the box. In a sea of half-baked bots, it ships verifiable connectivity tests and graceful shutdowns.

Who should use this?

Quant devs or crypto traders building poly market trading bots; Python scripters automating prediction market edges on Polymarket; experimenters testing LLM-driven trading without starting from zero. Ideal if you're forking for custom strategies on Polygon USDC.e markets.

Verdict

Solid starting point for poly-trading-bot prototypes at 1.0% credibility (14 stars signals early stage, thin tests). Fork the examples, run `cli.py health` first, and tune conservatively—examples lose on thin books. Worth a spin for Polymarket automation, but audit before live USDC.

(187 words)

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