ObesidianQuant

ObesidianQuant / polymarket-trade-engine

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github.comObesidianQuantpolymarket-trade-engine algorithmic-trading binary-markets btc clob cryptocurrency
90
1,005
85% credibility
Found May 26, 2026 at 91 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This is an automated trading engine designed for Polymarket's short-duration binary prediction markets (like 'Will Bitcoin go up or down in the next 5 minutes?'). The engine connects to live market data, watches crypto prices from multiple sources, and automatically places buy or sell orders based on customizable trading strategies. It includes a safe simulation mode for testing strategies without risking real money, detailed logging and charting to review performance, risk controls to limit losses, and the ability to recover from crashes. Users can run it in simulation to learn how it works, then switch to live trading with their own crypto wallet when they're ready.

How It Works

1
💡 You discover a trading tool for short-term crypto markets

You hear about Polymarket's 5-minute and 15-minute prediction markets and find this automated engine that can trade them for you.

2
⚙️ You set up the engine on your computer

You download the project and choose which crypto you want to track (Bitcoin, Ethereum, and others are supported).

3
🎮 You test it safely with fake money

You run the engine in simulation mode, watching it place imaginary trades and seeing how your strategy would have performed without risking a single dollar.

4
📊 You review detailed charts and logs

The engine creates visual charts showing every order, the market prices, and your profit or loss — like a replay of each trading round.

5
You decide how to use it
🔄
Keep practicing in simulation

Continue testing different strategies with fake money until you're confident.

💰
Switch to real trading

Connect your crypto wallet and let the engine trade with your actual funds.

6
🚀 The engine runs automatically

It watches live market prices, places orders at the right moments, and manages your positions until each market closes.

🎉 You see your results

When markets resolve, winning positions are automatically claimed. You can review your session profit or loss and decide what to do next.

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Star Growth

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AI-Generated Review

What is polymarket-trade-engine?

A TypeScript trading bot that automates buying and selling on Polymarket's binary prediction markets. It watches short-window crypto markets (5-minute and 15-minute slots for BTC, ETH, SOL, XRP, DOGE), executes orders against the CLOB API, and manages the full order lifecycle from placement through resolution. The engine ships with a simulation mode so you can backtest strategies against historical market data before risking real capital. Built-in risk controls enforce session loss limits and auto-shutdown on threshold breach.

Why is it gaining traction?

The strategy test harness is the hook. You can run strategies against live market conditions without touching real funds, then flip to production with a single flag. The multi-source price feed (Polymarket, Binance, Coinbase) with divergence detection and whale-dump alerts gives traders automated safeguards that most bots lack. Order management handles retries on balance errors, partial fills, and emergency sells automatically. The charting script turns raw logs into interactive visualizations showing order book depth, fill prices, and PnL.

Who should use this?

Quantitative traders building or testing Polymarket strategies who want a battle-tested execution framework rather than wiring up WebSocket connections and order management from scratch. Researchers backtesting short-window market hypotheses. Developers who want to plug in custom strategy logic through a clean interface without rebuilding the CLOB client, state persistence, and recovery systems.

Verdict

Solid foundation for Polymarket automation, but the 90-star count signals early-stage software. The documentation is thorough and the architecture is well-separated between simulation and production clients, but test coverage is unclear and the project lacks community validation. At a credibility score of 0.85%, this is a legitimate effort from an active developer, not a throwaway script. Worth evaluating if you are trading Polymarket programmatically, but treat it as you would any early-stage project: review the strategy code, start in simulation, and size positions conservively until you have confidence in the behavior under real market conditions.

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