MachineLearningStocks alternatives for AI agents.

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Portfolio analytics for quants, written in Python

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

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.

A curated list of practical financial machine learning tools and applications.

modular quant framework.

Use unsupervised and supervised learning to predict stocks

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

基于深度强化学习的开源自动因子工厂。

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

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

A list of online resources for quantitative modeling, trading, portfolio management

Financial data platform for analysts, quants and AI agents.

Python wrapper for TA-Lib (http://ta-lib.org/).

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.