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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.
"Vibe-Trading: Your Personal Trading Agent"
Python toolkit for quantitative finance
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Portfolio analytics for quants, written in Python
TranslatedQuantitative research - replication of brokerage financial engineering research reports
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance TensorFlow library for quantitative finance.
Transparent and Efficient Financial Analysis
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Portfolio Optimization in Python
Performance analysis of predictive (alpha) stock factors
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Statistical and Algorithmic Investing Strategies for Everyone
基于深度强化学习的开源自动因子工厂。
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
A javascript technical indicators written in typescript with pattern recognition right in the browser
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Golang实现财报分析、个股基本面检测、基本面选股、4433法则基金筛选与检测、基金持仓相似度、股票选基、基金经理筛选
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau