基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
a light-weighted, integrated trading/backtesting system/platform(综合量化交易回测系统/平台)
基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyZipline, a Pythonic Algorithmic Trading Library
$ npx skills add quantopian/ziplineWonderTrader——量化研发交易一站式框架
$ npx skills add wondertrader/wondertraderThe QuantLib C++ library
$ npx skills add lballabio/QuantLibAKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
$ npx skills add akfamily/akquantHikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架,同时可基于策略部件进行资产重用,快速累积策略资产。
$ npx skills add fasiondog/hikyuuSimple connector to Binance Public API
$ npx skills add binance/binance-connector-pythonqlib助手, 每日自动预测a股 👇
$ npx skills add touhoufan2024/qlibAssistantTradingAgents: 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_asyncVarious indicators developed or collected for the Freqtrade
$ npx skills add freqtrade/technicalwtpy是基于wondertrader为底层的针对python的子框架
$ npx skills add wondertrader/wtpyFree, open source crypto trading bot
$ npx skills add freqtrade/freqtradeHigh performance components for building Trading Platform such as ultra fast matching engine, order book processor
$ npx skills add chronoxor/CppTraderQUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
$ npx skills add yutiansut/QUANTAXISPython wrapper for TA-Lib (http://ta-lib.org/).
$ npx skills add TA-Lib/ta-lib-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 Starquant 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.