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yuanyichuangzhi's Projects

ctpbee icon ctpbee

量化行情与交易开发框架

ctpsystem icon ctpsystem

本项目为上海期货交易所量化交易系统

ctp_hft icon ctp_hft

QT做界面,基于ctp-api实现高频交易工具

daydayfund icon daydayfund

天天基金网爬虫,可分布式部署,限制并发,通过代理ip爬数据,定时爬取,定时通过邮件反馈基金行情统计数据

decisiontreeclassifier_exercise-cars_dataset icon decisiontreeclassifier_exercise-cars_dataset

An exercise on create a Decision Tree Classifier model to predict car class base on the buying price, maintenance price, number of doors, number of seats, luggage boot size and safety level. Data app will create on streamlit for application

demo-face-gan icon demo-face-gan

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

demo-self-driving icon demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

devilyuan icon devilyuan

DevilYuan可视化股票量化系统,支持选股,历史数据自动下载,策略回测及参数优化,实盘交易和常用的统计功能

diabetes-streamlit-app icon diabetes-streamlit-app

An interactive web application using Streamlit and Python to plot and demonstrate evaluation metrics for binary classification algorithms of the diabetes dataset obtained from Kaggle.

diff icon diff

基于websocket和json的协议, 用于在期货软件系统间实现行情/交易/历史数据交互

dllstrategy icon dllstrategy

Project template for DLL-based strategy development.

donchian-channel-trading icon donchian-channel-trading

This project demonstrates the possibility of creating a near universal trading rule set based on the Donchian channels, trend following, and an implicit application of the Kelly criterion

easyquotation icon easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

easytrader icon easytrader

提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

example-app-commenting icon example-app-commenting

A Streamlit app to show how you can easily empower viewers to comment and collaborate on your app using a commenting component. The comments are hosted on a Google Sheets.

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