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
- gs-quant
- goldman-sachs
- risk-management
- trading-strategies
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
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
- financial-statements
- stock-data
- fundamental-analysis
- fundamentals
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
- portfolio-optimization
- convex-optimization
- stepwise-regression
- duration-matching
Performance analysis of predictive (alpha) stock factors
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Statistical and Algorithmic Investing Strategies for Everyone
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
- risk
- pricing
- risk-management
- asset-allocation
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
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
- stock-market
- stock-analysis
- trading-strategies
- technical-analysis
Use unsupervised and supervised learning to predict stocks
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
A program for financial portfolio management, analysis and optimisation.
- portfolio-management
- portfolio-optimisation
- optimisation
- finance