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ai-alpha's Introduction

Alpha Research with AI

Project Description

Please refer to the medium post:

File Description

Alpha Research Base.ipynb

Jupyter notebook to execute alpha research process without Machine Learning. Functions are defined in myalpha package.

Alpha Research AI.ipynb

Add Machine Learning to generate Alpha vector on top of the base process.

myalpha package

This include the following modules used in the notebook for basic alpha research

datautil.py

Utility functions to handle input data

riskmodel.py

Statistical (PCA) based risk model functions

alphas.py

Defines Alpha Factors

mlutil.py

Classes and functions for Machine Learning process to create AI Alpha

performance.py

Performance measurement and visualization functions using alphalens

optimization.py

Optimization classes to calculate optimal holding based on the constraints

ai-alpha's People

Stargazers

 avatar  avatar  avatar  avatar Anthony Vince avatar  avatar  avatar  avatar  avatar  avatar  avatar Yiling Yang avatar InfNight avatar  avatar  avatar  avatar  avatar Maximilian Wimmer avatar Kenny McAvoy avatar  avatar  avatar Daniel  avatar John Sun avatar Christopher Dambamuromo avatar  avatar Jeffrey Ryan avatar Shirui Wang avatar Priyanshi Gupta avatar  avatar Philip Patterson avatar  avatar  avatar Sebastián Romero avatar  avatar  avatar  avatar

Watchers

 avatar Yuki Takahashi avatar

ai-alpha's Issues

Backtest Related Input Data

Hi Yuki,

Thanks for the excellent insightful sharing!
Is it possible to share the input data for the backtest notebook for better reference?

Thanks in advanced.

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