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alphalens

Performance analysis of predictive (alpha) stock factors

ant-design

🌈 A UI Design Language and React UI library

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

backtrader

Python Backtesting library for trading strategies

barra_cne6

Barra CNE6 因子构建

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-using-matlab-python

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

document-style-guide

中文技术文档的写作规范

hist

The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

inside-zipline

深入了解zipline回测框架

learning2rank

Learning to rank with neuralnet - RankNet and ListNet

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

mean_variance_optimization

根据均值方差理论优化fof组合资产配比并进行回测

notes

个人笔记

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

pyfolio

Portfolio and risk analytics in Python

pyltr

Python learning to rank (LTR) toolkit

pymarkowitz

Mean Variance (Markowitz) Portfolio Optimization and Beyond

quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

ranking

Learning to Rank in TensorFlow

recurrent-independent-mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

rims

Code for "Recurrent Independent Mechanisms"

statistical-learning-methods

Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

temporal_relational_stock_ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

visualportfolio

vnpy

基于Python的开源量化交易平台开发框架

zipline

Zipline, a Pythonic Algorithmic Trading Library