dfkai / xtquantaiLinks
xtquant for ai, MCP project.
☆86Updated 5 months ago
Alternatives and similar repositories for xtquantai
Users that are interested in xtquantai are comparing it to the libraries listed below
Sorting:
- ☆268Updated last week
- Backtrader QMT Store☆134Updated 7 months ago
- 《miniQMT实盘量化》系列教程的代码仓库☆150Updated last year
- 迅投QMT全推行情记录☆39Updated 3 weeks ago
- Python-based stock analysis tool that combines traditional technical analysis with AI prediction capabilities. Providing comprehensive s…☆201Updated 2 weeks ago
- 通达信预警信号程序化交易☆179Updated 6 months ago
- 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☆137Updated 5 months ago
- 迅投QMT接口☆320Updated 2 years ago
- 缠论图形工具项目☆95Updated 3 years ago
- 免费开源的模拟盘加实盘交易策略框架,可以实现股票账户无人监管全自动操作,适合像作者这类无暇白天盯盘的搬砖狗。☆172Updated last week
- 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…☆144Updated 4 months ago
- ☆169Updated 4 months ago
- 开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;☆61Updated 2 years ago
- Hybrid Python + Rust backtesting framework☆134Updated this week
- 同花顺自动程序化交易☆128Updated last year
- 打板策略一直是a股生命力很顽强的策略,也造就了很多游资神话,本项目是研究如何将打板策略实现量化。☆116Updated 7 months ago
- 股票量化代码,包括通过qmt、同花顺问题和东财api等获取金融数据,以及处理量化这些数据☆64Updated 2 months ago
- rainx_pytdx的备份☆102Updated 4 years ago
- 基于akshare和backtrader的回测。☆88Updated 4 years ago
- https://github.com/UFund-Me/Qbot☆123Updated last year
- 筹码分布python计算源码☆238Updated 4 years ago
- 金融量化数据库构建☆85Updated last year
- 同花顺手机版模拟炒股自动化测试封装☆83Updated last year
- 中国版技术指标☆172Updated last year
- 迅投QMT python自动化交易 <持续更新>☆48Updated 3 years ago
- 基于streamlit的因子分析app☆78Updated 4 months ago
- backtrader教程,包括数据、框架、策略及评估☆58Updated 4 years ago
- PositionBT is a simple, fast, and customizable backtesting framework that empowers traders to efficiently develop and optimize trading st…☆125Updated 2 months ago
- 缠论实现:K线合并、识别分型、计算笔、计算线段、计算中枢、识别买卖点☆34Updated 3 years ago
- a python-based fast quantitative investment module☆114Updated this week