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alphalens

Performance analysis of predictive (alpha) stock factors

cvxopt

CVXOPT -- Python Software for Convex Optimization

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

deeplearning.ai_jupyternotebooks

DeepLearning.ai课程学习Jupyter Notebook作业

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

handson-ml2

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.

intraday

intraday strategy

learngit

portfolioopt

Financial Portfolio Optimization Routines in Python

pyfolio

Portfolio and risk analytics in Python

rqalpha

RQalpha: A Python Algorithmic Trading Engine with BackTest, Portfolio Calculation and Free Day Data

tutorial

sdfg

vnpy

基于python的开源交易平台开发框架

zipline

Zipline, a Pythonic Algorithmic Trading Library