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.
Current skill
Unofficial Python client for Kalshi's prediction markets API
Free, open source crypto trading bot
$ npx skills add freqtrade/freqtradeTradingAgents: Multi-Agents LLM Financial Trading Framework
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$ npx skills add ZhuLinsen/daily_stock_analysisQlib 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/qlibA cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java
$ npx skills add ccxt/ccxtOpen source software that helps you create and deploy high-frequency crypto trading bots
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$ npx skills add goldmansachs/gs-quantYour AI trading terminal assistant for US stocks, commodities, forex, and crypto.
$ npx skills add NoFxAiOS/nofxThis is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
$ npx skills add JerBouma/FinanceDatabaseThe backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
$ npx skills add polakowo/vectorbtLean Algorithmic Trading Engine by QuantConnect (Python, C#)
$ npx skills add QuantConnect/LeanFinceptTerminal 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/FinceptTerminalQuestDB is a high performance, open-source, time-series database
$ npx skills add questdb/questdbHow 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 Pykalshi 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.