交易模块

Technical guide to making money and investing（最全赚钱投资指南）

R's data.table package extends data.frame:

Seamless R and C++ Integration

mlpack: a fast, header-only C++ machine learning library

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

A Python implementation of global optimization with gaussian processes.

The repository of "Python for Finance Cookbook" 2nd edition

通达信数据读取的一个简便使用封装

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

collecting books, papers and docs.

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

受 pytdx 启发的 A 股数据获取工具

📈 Better Quant

Statistical Machine Intelligence & Learning Engine

Java dataframe and visualization library

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

HanLP Analyzer for Elasticsearch

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

NumPy & SciPy for GPU

Papers and Resources on running A/B Experiments

Statistical Rethinking: A Bayesian Course Using Python and NumPyro

PyMC educational resources

《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

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