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    • 用C++开发的跨平台的基于ctp api的交易程序,可以实现在云服务器连续自动运行,无需手动干预,微信监控实时通知,接触不到电脑也可随时了解交易行情动态,数据文件自动压缩上传百度网盘,熟悉无锁ringbuffer的使用,尽可能降低延迟。
      C
      19000Updated Apr 11, 2024Apr 11, 2024
    • Python
      GNU General Public License v3.0
      57000Updated May 28, 2023May 28, 2023
    • alphagen

      Public
      Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
      Python
      166000Updated May 19, 2023May 19, 2023
    • qteasy

      Public
      a python-based fast quantitative investment module
      Python
      Creative Commons Zero v1.0 Universal
      32000Updated May 18, 2023May 18, 2023
    • Use bokeh as the backend, you will get richer plot effects for backtrader
      Python
      GNU General Public License v3.0
      9000Updated Apr 17, 2023Apr 17, 2023
    • Investment Research for Everyone, Anywhere.
      Python
      MIT License
      3.1k000Updated Apr 4, 2023Apr 4, 2023
    • QSExt

      Public
      Python
      MIT License
      6000Updated Mar 7, 2023Mar 7, 2023
    • QuantFabric主项目
      CMake
      Other
      50000Updated Feb 10, 2023Feb 10, 2023
    • spectre

      Public
      GPU-accelerated Factors analysis library and Backtester
      Python
      GNU General Public License v3.0
      108000Updated Jan 18, 2023Jan 18, 2023
    • thsauto

      Public
      同花顺自动下单工具
      Python
      177000Updated Jan 16, 2023Jan 16, 2023
    • Async integration between backtrader and Interactive brokers.
      Python
      GNU General Public License v3.0
      35000Updated Jan 15, 2023Jan 15, 2023
    • A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
      Python
      MIT License
      678000Updated Jun 21, 2022Jun 21, 2022
    • JavaScript
      Other
      11000Updated Oct 20, 2021Oct 20, 2021
    • QSDoc

      Public
      Quant Studio Document
      Batchfile
      17000Updated Feb 25, 2021Feb 25, 2021
    • Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
      Python
      BSD 3-Clause "New" or "Revised" License
      524000Updated Feb 6, 2021Feb 6, 2021
    • starquant

      Public
      a light-weighted, integrated trading/backtesting system/platform(综合量化交易回测系统/平台)
      C++
      Apache License 2.0
      164000Updated Dec 15, 2020Dec 15, 2020
    • 通过celery定期执行更相关任务,将万得wind,同花顺ifind,东方财富choice、Tushrae、JQDataSDK、pytdx、CMC等数据终端的数据进行整合,清洗,一致化,供其他系统数据分析使用
      Python
      GNU General Public License v3.0
      122000Updated Nov 23, 2020Nov 23, 2020
    • An open-access benchmark and toolbox for electricity price forecasting
      Python
      GNU Affero General Public License v3.0
      79000Updated Oct 5, 2020Oct 5, 2020
    • pyfinmod

      Public
      Financial modeling with Python and Pandas
      Python
      MIT License
      25000Updated Sep 19, 2020Sep 19, 2020
    • maxe

      Public
      Multi-Agent eXchange simulator developed at Oxford-Man Institute
      C++
      MIT License
      20000Updated Aug 17, 2020Aug 17, 2020
    • An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
      Python
      Apache License 2.0
      1k000Updated Jun 14, 2020Jun 14, 2020
    • Toou-2D

      Public
      基于Qt Quick(Qml) 跨平台技术打造的2D框架
      QML
      MIT License
      206000Updated Mar 11, 2020Mar 11, 2020
    • QtFlex5

      Public
      Flexible and dockable widgets for Qt5, like Visual Studio 201x user interface.
      C++
      MIT License
      149000Updated Mar 8, 2020Mar 8, 2020
    • go-trader

      Public
      financial exchange written in Go, designed for algorithmic trading tests
      Go
      GNU General Public License v3.0
      76000Updated Feb 19, 2020Feb 19, 2020
    • Guides, tutorials and presentations
      Jupyter Notebook
      MIT License
      23000Updated Feb 1, 2020Feb 1, 2020
    • The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
      C#
      GNU Affero General Public License v3.0
      111000Updated Jan 29, 2020Jan 29, 2020
    • In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use L…
      1.7k000Updated Jan 25, 2020Jan 25, 2020
    • Repo for code used to perform research for the WorldQuant University MScFE Capstone project on "Application of algorithmic trading strategies for retail investors"
      Jupyter Notebook
      MIT License
      15000Updated Jan 23, 2020Jan 23, 2020
    • Engine

      Public
      Open Source Risk Engine
      C++
      Other
      221000Updated Jan 14, 2020Jan 14, 2020
    • Jupyter Notebook
      1000Updated Dec 23, 2019Dec 23, 2019