Quant Finance Resources alternatives for AI agents.

Algorithmic Trading in Python with Machine Learning

Use unsupervised and supervised learning to predict stocks

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.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

An advanced crypto trading bot written in Python

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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

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

modular quant framework.

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

Open-source Rust framework for building event-driven live-trading & backtesting systems

Open Source Algo Trading Platform for Everyone

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.