py_polymarket_hft_mm
Unverified Market-making strategy on Crypto by nawaz0x1. BotFinder score 18 out of 100.
Python HFT (High Frequency Trading) system with advanced market making algorithms for Polymarket Bitcoin prediction markets.
Source: github
BotFinder analysis pending.
py_polymarket_hft_mm
# Polymarket HFT Market Making System Python High-Frequency Trading Infrastructure for Prediction Markets Overview A high-frequency trading (HFT) market making system built for Polymarket's prediction markets. This system uses real-time orderbook analysis, signal generation, and automated execution to provide liquidity while maintaining profitability through intelligent market making strategies. Key Features: - Real-time Market Making: Automated bid-ask spread management with dynamic pricing - Signal-Based Trading: BPS (Basis Points Spread) threshold monitoring for entry signals - Intelligent Hedging: Automatic position hedging to manage risk exposure - Performance Optimization: CPU affinity control, GC management, and async architecture - Risk Management: Position limits, profit margins, and automated trade execution - WebSocket Integration: Real-time market data streaming with automatic reconnection --- System Architecture Core Components Key Components 1. Main Trading Engine (main.py) The core trading loop that orchestrates all system components: 2. OrderBook Management (utils/or
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