{"repo":"0xemmkty/QuantMuse","free":true,"listed":false,"github":"https://github.com/0xemmkty/QuantMuse","clone":"git clone https://github.com/0xemmkty/QuantMuse.git","description":"A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management","language":"Python","stars":2851,"topics":["machine-learning","python","quantitative-trading"],"license":"MIT","category":"machine-learning","readme_excerpt":"🚀 Quantitative Trading System A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management 📋 Table of Contents - Overview - Features - Architecture - Quick Start - Installation - Usage Examples - Documentation - Contributing - License 🎯 Overview This is a production-ready quantitative trading system that combines traditional financial analysis with cutting-edge AI/ML technologies. The system provides a complete pipeline from data collection to strategy execution, featuring real-time market data processing, advanced factor analysis, AI-powered sentiment analysis, and comprehensive risk management. 🌟 Key Highlights - 🔬 Advanced Factor Analysis : Multi-factor models with momentum, value, quality, and volatility factors - 🤖 AI/LLM Integration : OpenAI GPT integration for market analysis and strategy recommendations - 📊 Real-time Data : WebSocket-based real-time market data from multiple exchanges - 🎯 Strategy Framework : Extensible strategy system with 8+ built-in quantitative strategies - ⚡ High Performance : C++ core engine for low-latency order execution - 📈 Visualization : Interactive dashboards with Plotly and Streamlit - 🛡️ Risk Management : Comprehensive risk controls and portfolio management ✨ Features 📊 Data Management - Multi-source Data : Binance, Yahoo Finance, Alpha Vantage - Real-time Streaming : WebSocket connections for live market data - Data Processing : Automated data cleaning and featu","default_branch":null,"files":null,"tree":[],"storefront":"/r/0xemmkty","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/0xemmkty/QuantMuse/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}