Free, open source crypto trading bot
$ npx skills add freqtrade/freqtradeAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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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
Free, open source crypto trading bot
$ npx skills add freqtrade/freqtradeQlib 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/qlibFinRL®: Financial Reinforcement Learning. 🔥
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$ npx skills add OpenBB-finance/OpenBBOpen source software that helps you create and deploy high-frequency crypto trading bots
$ npx skills add hummingbot/hummingbotYour AI trading terminal assistant for US stocks, commodities, forex, and crypto.
$ npx skills add NoFxAiOS/nofxFinceptTerminal 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.
$ npx skills add Fincept-Corporation/FinceptTerminalLLM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.
$ npx skills add ZhuLinsen/daily_stock_analysisAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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$ npx skills add RyanCodrai/turbovecFinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
$ npx skills add AI4Finance-Foundation/FinGPTLean Algorithmic Trading Engine by QuantConnect (Python, C#)
$ npx skills add QuantConnect/LeanHow 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 Abu 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.