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bigbooksmallpythonprojects

cnn-for-stock-market-prediction-pytorch

CNN for stock market prediction using raw data & candlestick graph.

gitskills

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

lob

Benchmark Dataset of Limit Order Book in China Markets

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

processtrader

一个用python实现的，基于pyside6和天勤SDK的，多用户，多进程期货程序化交易框架，可实现完全无人职守的自动化国内期货交易，或者半程序化交易

python-holidays

Generate and work with holidays in Python

stockpredictionai

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 LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

timesnet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

tuchart

Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化

vnpy

基于Python的开源量化交易平台开发框架