Zipline, a Pythonic Algorithmic Trading Library
$ npx skills add quantopian/ziplineAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
qlib助手, 每日自动预测a股 👇
Zipline, a Pythonic Algorithmic Trading Library
$ npx skills add quantopian/ziplineFree, open source crypto trading bot
$ npx skills add freqtrade/freqtrade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 live trade execution library with zipline interface.
$ npx skills add alpacahq/pylivetrader基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyPerformance analysis of predictive (alpha) stock factors
$ npx skills add quantopian/alphalensFree trading strategies for Freqtrade bot
$ npx skills add freqtrade/freqtrade-strategies🔎 📈 🐍 💰 Backtest trading strategies in Python.
$ npx skills add kernc/backtesting.pyExtract price and indicator data from TradingView charts to create ML datasets
$ npx skills add jchao01/TradingView-data-scraper📈A command line tool to view stock charts in the terminal.
$ npx skills add Gbox4/tstockA curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
$ npx skills add leoncuhk/awesome-quant-aiPyTrendFollow - systematic futures trading using trend following
$ npx skills add chrism2671/PyTrendFollowTrading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin and Hyperliquid
$ npx skills add enarjord/passivbotSimple connector to Binance Public API
$ npx skills add binance/binance-connector-pythonThis github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
$ npx skills add tatsath/fin-mlTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgentsHow 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 QlibAssistant 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.