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
wtpy是基于wondertrader为底层的针对python的子框架
基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyWonderTrader——量化研发交易一站式框架
$ npx skills add wondertrader/wondertraderQUANTAXIS 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/QUANTAXIS30天掌握量化交易 (持续更新)
$ npx skills add Rockyzsu/stock天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
$ npx skills add shinnytech/tqsdk-pythonefinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀
$ npx skills add Micro-sheep/efinanceBinance trading gateway for VeighNa Evo
$ npx skills add veighna-global/vnpy_binanceAKQuant 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/akquantTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgents股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集,系统包括新浪腾讯双数据核心采集获取,自动故障切换,STOCK数据格式成DataFrame格式,可用来查询研究量化分析,股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量,更加专注于策略和模型的研究与实现。
$ npx skills add mpquant/Ashare中国的Quant相关资源索引
$ npx skills add thuquant/awesome-quantPython Backtesting library for trading strategies
$ npx skills add mementum/backtraderFinRL®-Meta: Dynamic datasets and market environments for FinRL.
$ npx skills add AI4Finance-Foundation/FinRL-MetaZipline, a Pythonic Algorithmic Trading Library
$ npx skills add quantopian/zipline$ npx skills add ctpbee/ctpbeedj-stripe automatically syncs your Stripe Data to your local database as pre-implemented Django Models allowing you to use the Django ORM, in your code, to work with the data making it easier and faster.
$ npx skills add dj-stripe/dj-stripeHow 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 Wtpy 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.