gglive's repositories
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.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
AlgoTrading
Algorithmic trading platform for multiple assets
alpha-mind
quantitative security portfolio analysis
Finance-Python
python tools for Finance
pyalgotrade
Python Algorithmic Trading Library
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
quantcalc-net.github.io
previously quantcalc.net
research_public
Quantopian research projects
rqalpha-mod-fxdayu-source
rqalpha拓展数据和事件源，支持分钟级别回测，实时交易，支持quantos数据源
rqalpha-mod-vnpy
RQAlpha 对接 vnpy 的扩展 Mod。通过启用该 Mod 来实现期货策略的实盘交易