Python Backtesting library for trading strategies
$ npx skills add mementum/backtraderAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A Light Event-Driven Algorithmic Trading Engine
Python Backtesting library for trading strategies
$ npx skills add mementum/backtraderSimple connector to Binance Public API
$ npx skills add binance/binance-connector-pythonZipline, a Pythonic Algorithmic Trading Library
$ npx skills add quantopian/ziplineTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgentsPython sync/async framework for Interactive Brokers API (replaces ib_insync)
$ npx skills add ib-api-reloaded/ib_async基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyVarious indicators developed or collected for the Freqtrade
$ npx skills add freqtrade/technicalFree, open source crypto trading bot
$ npx skills add freqtrade/freqtradeFree trading strategies for Freqtrade bot
$ npx skills add freqtrade/freqtrade-strategies$ npx skills add refraction-ray/xalpha🔎 📈 🐍 💰 Backtest trading strategies in Python.
$ npx skills add kernc/backtesting.pyA complete set of volatility estimators based on Euan Sinclair's Volatility Trading
$ npx skills add jasonstrimpel/volatility-tradingqlib助手, 每日自动预测a股 👇
$ npx skills add touhoufan2024/qlibAssistantLLM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_analysisA nimble options research and backtesting library for Python
$ npx skills add goldspanlabs/optopsyThe official Python client library for the Massive.com REST and WebSocket API.
$ npx skills add massive-com/client-pythonHow 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 Qtrader 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.