yyq7903

yyq7903 / auto-trading

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Automated trading system for Polymarket BTC 5-minute prediction markets — real-time data collection, strategy engine, backtesting, and web dashboard.

automation bitcoin bot crypto polymarket
29
0
69% credibility
Found May 31, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An automated trading system for Polymarket's Bitcoin 5-minute prediction markets. The system watches live crypto prices, compares them to a reference price, and automatically places trades when certain conditions are met. It includes a simulation mode for testing strategies, a web dashboard for monitoring, and can execute real trades with connected wallets. The project is clearly marked as experimental with prominent disclaimers about financial risk.

How It Works

1
🔍 You find a crypto trading tool online

You discover an automated system that trades on Polymarket's Bitcoin 5-minute prediction markets, with clear disclaimers that it's experimental software.

2
⚙️ You set up the program on your computer

Following the friendly guide, you install Python and a web dashboard. The system asks you to connect an AI service so it can think through trades.

3
📊 You watch it monitor real crypto prices

The collector starts watching live Bitcoin prices every second, comparing them to a special reference price that tells you which direction the market might go.

4
Choose your path
🎮
Simulation mode (recommended first)

Like a flight simulator: the system makes fake trades using play money so you can see if your strategy works without risking real cash.

💰
Live trading mode (requires wallet)

You connect your crypto wallet and the system executes real trades with your actual money. There's a confirmation step to prevent accidents.

5
🎯 The system finds a trade and executes it

When the gap between Bitcoin price and the reference price exceeds your chosen threshold, the system automatically places your trade in the final seconds before market close.

6
📈 You check your results on the dashboard

A colorful web dashboard shows your win/loss record, money made or lost, and colorful charts to help you understand your performance over time.

🎉 You've automated your trading strategy

Whether practicing or trading for real, you now have a system that watches markets 24/7, finds opportunities based on your rules, and executes trades automatically while you watch from the dashboard.

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AI-Generated Review

What is auto-trading?

This is an automated trading system for Polymarket's BTC 5-minute prediction markets. The bot watches real-time BTC prices via Chainlink oracles, calculates the "price to beat" for each market window, and places trades based on whether the current price is above or below that threshold. It runs in two modes: simulation for backtesting strategies, and live for real execution. The Python backend streams market data through WebSockets, while a React dashboard lets you monitor positions and switch between five configurable strategy presets. Risk controls handle position sizing, stop-loss logic, and automatic bankroll resets after losses.

Why is it gaining traction?

Prediction markets are hot right now, and this project targets a specific niche--BTC 5-minute contracts--with a clean, focused strategy. The dual execution layer is clever: it tries browser automation first (for Polymarket's UI), then falls back to the official CLOB SDK if that fails. The data collection is thorough, pulling from multiple sources to ensure reliable price feeds. Hot-reloadable configs mean you can tweak strategy parameters without restarting the bot.

Who should use this?

Crypto-native developers who want to experiment with Polymarket automation without building from scratch. Quant traders looking for a template to backtest gap-based entry strategies on short-duration markets. Not suitable for production use without significant testing--29 stars and the experimental disclaimer tell you where this project sits on the maturity curve.

Verdict

At 0.699999988079071% credibility and 29 stars, this is an early-stage, personal trading project with solid architecture but limited community validation. The code is well-organized and the strategy logic is transparent, but test coverage and documentation are minimal. Worth exploring as a learning tool or starting point for your own bot, but do your own backtesting before trusting it with real capital.

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