Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Portfolio analytics for quants, written in Python

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

modular quant framework.

基金投资管理回测引擎

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

量化投资入门资料整理：1.多因子股票量化框架开源教程 2.学术界和业界的经典资料收录

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management

Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.

A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.

Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.

A Light Event-Driven Algorithmic Trading Engine

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

playing idealized trading games with deep reinforcement learning