Deepdow alternatives for AI agents.

The Operator Splitting QP Solver

Portfolio optimization and back-testing.

A toolkit for building AI-automated trading strategies on Kalshi prediction 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.

Research in investment finance with Python Notebooks

Fast and scalable construction of risk parity portfolios

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

[🔥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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Financial data platform for analysts, quants and AI agents.

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

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

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

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).