akfamily / akquantLinks
AKQuant is a project about Quantitative Investment
☆69Updated last year
Alternatives and similar repositories for akquant
Users that are interested in akquant are comparing it to the libraries listed below
Sorting:
- 《miniQMT实盘量化》系列教程的代码仓库☆184Updated last year
- A utility for fundamentals data of China commodity futures☆287Updated 5 years ago
- 量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide☆239Updated last week
- Backtrader QMT Store☆150Updated 10 months ago
- https://github.com/UFund-Me/Qbot☆150Updated last year
- 迅投QMT接口☆363Updated 3 years ago
- 金融量化数据库构建☆91Updated last year
- 基于akshare和backtrader的回测。☆91Updated 4 years ago
- Awesome-data shows most interesting data-source around the financial world!☆563Updated 7 months ago
- 用backtrader实现一些交易策略的回测。☆102Updated 3 years ago
- cnvar.cn及个人微信公众号【QuantInvest】里面提及的编程代码, 对股票各种研究和折腾分析A股市场的各种现象和投资机会,涉及编程、股票模型、分析研究、杂谈等,代码是python,以jupyter notebook展示。☆78Updated 11 months ago
- 中国版技术指标☆183Updated last year
- 基于迅投QMT的自动化多因子策略交易执行、账户状态监控、多策略自动分仓、行情爬虫脚本,账户绩效、交易成本分析 trader, data crawler based on Qmt☆156Updated 8 months ago
- 缠中说禅技术分析工具网页☆89Updated 4 years ago
- ☆98Updated 6 years ago
- Stock Backtrader Web App 是一个基于 Python 的项目,旨在简化股票回测和分析的过程。通过集成四个强大的库——Streamlit、AkShare、Backtrader 和 Pyecharts,本应用为用户提供了一个综合性的工具集,支持股票数据获取…☆198Updated 6 months ago
- 通达信预警信号程序化交易☆195Updated 9 months ago
- a python-based fast quantitative investment module☆121Updated this week
- 我的多因子模型、量化投资沙盒☆185Updated 2 years ago
- 基于掘金+万得+聚宽的多因子策略开发框架☆220Updated 3 years ago
- backtrader教程,包括数据、框架、策略及评估☆60Updated 4 years ago
- PositionBT is a simple, fast, and customizable backtesting framework that empowers traders to efficiently develop and optimize trading st…☆128Updated 4 months ago
- python lib for operating eastmoney☆81Updated 4 months ago
- 同花顺手机版模拟炒股自动化测试封装☆89Updated last year
- 我的量化交易学习实践代码☆259Updated 5 years ago
- 聚宽单因子分析工具☆593Updated 9 months ago
- 📈 如何用深度强化学习自动炒股☆37Updated 4 years ago
- quantaxis rust 版本开发环境☆191Updated 7 months ago
- 基于MySql、baoStock、tushare、Akshare、efinance、easyQuation、talib、通达信、天天基金、筹码计算、选股、邮件提醒实现的选股机器人。☆215Updated 3 years ago
- AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。☆267Updated last year