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awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

best-of-ml-python

🏆 A ranked list of awesome machine learning python libraries. Updated weekly.

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

cpp_thread_pool

A c++ thread pool library for class member method

dominant_contract_switch

**商品期货市场主力切换数据

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.

malware-detection-machine-learning

malware detection using machine learning

mhxueshan.github.io

personal website

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mlfinlab_research_bryce

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

spam-detection-machine-learning

stl_perf

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.

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

vnpystudy

学习vnpy框架写的一些测试代码