Options Trading Strategies In Python alternatives for AI agents.

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

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.

Financial data platform for analysts, quants and AI agents.

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

Using python and scikit-learn to make stock predictions

modular quant framework.

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

Use unsupervised and supervised learning to predict stocks

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.

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

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

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