Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
$ npx skills add StockSharp/StockSharpAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
$ npx skills add StockSharp/StockSharpThe backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
$ npx skills add polakowo/vectorbtQlib 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.
$ npx skills add microsoft/qlibstock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。
$ npx skills add myhhub/stockOpen-source Rust framework for building event-driven live-trading & backtesting systems
$ npx skills add barter-rs/barter-rsOpen Source Algo Trading Platform for Everyone
$ npx skills add marketcalls/openalgoFinancial data platform for analysts, quants and AI agents.
$ npx skills add OpenBB-finance/OpenBBAn advanced crypto trading bot written in Python
$ npx skills add jesse-ai/jesseFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
$ npx skills add PyPortfolio/PyPortfolioOpt基于深度强化学习的开源自动因子工厂。
$ npx skills add imbue-bit/AlphaGPTPython library for portfolio optimization built on top of scikit-learn
$ npx skills add skfolio/skfolio[🔥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
$ npx skills add UFund-Me/Qbot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
$ npx skills add bbfamily/abuPython wrapper for TA-Lib (http://ta-lib.org/).
$ npx skills add TA-Lib/ta-lib-pythonThe QuantLib C++ library
$ npx skills add lballabio/QuantLibPortfolio Optimization in Python
$ npx skills add dcajasn/Riskfolio-LibHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Lumibot if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.