缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易
$ npx skills add waditu/czscAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
This is a wencai crawler.(i问财的策略回测接口的Pythonic工具包)
缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易
$ npx skills add waditu/czsc国内最优秀的基于JAVA的AI开源量化交易平台,秒替文华、MC、金字塔。具备历史回放、策略研发、模拟交易、实盘交易等功能。兼顾全自动与半自动的使用场景。
$ npx skills add dromara/northstar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/AshareTradingView Screener API - Stock, Crypto, Forex, Bond, Futures, Coin
$ npx skills add deepentropy/tvscreener基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyQUANTAXIS 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$ npx skills add timercrack/trader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/efinanceCryptocurrency Exchange REST API SDK Wrapper Implemented With the golang, Supporting OKX, Binance
$ npx skills add nntaoli-project/goexAKQuant 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/akquantPython wrapper for TA-Lib (http://ta-lib.org/).
$ npx skills add TA-Lib/ta-lib-pythonThe QuantLib C++ library
$ npx skills add lballabio/QuantLibwtpy是基于wondertrader为底层的针对python的子框架
$ npx skills add wondertrader/wtpyA vector index built on TurboQuant, written in Rust with Python bindings
$ npx skills add RyanCodrai/turbovecHow 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 Wencai 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.