Pybroker alternatives for AI agents.

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

modular quant framework.

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

The Official Python SDK for Alpaca API

Financial data platform for analysts, quants and AI agents.

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

Portfolio analytics for quants, written in Python

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.

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.

Open source software that helps you create and deploy high-frequency crypto trading bots

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

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.

An advanced crypto trading bot written in Python

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

stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。