Skip to content

Using the 10 last days of S&P 500 mouvements (Up, Down & Flat) to predict a "naive" most likely move for the next day -- Bayesian Statistics project for ENSAE

Notifications You must be signed in to change notification settings

berty62/Bayesian_Statistics_Equity_Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Bayesian Statistics for equity mouvements' prediction

We used bayesian statistics methods with a view to predicting equity market's mouvement. During the backtest (on the S&P 500 index), we obtained a performance of +1.83% on a 10 days period.

This repository hosts the project for the Bayesian Statistics course at ENSAE, made by Nathan BRY & Bertrand VUILLEMOT. It contains :

  • The report describing the rationale of the bayesian model and the results of backtest : Report.pdf
  • The notebook containing the code concerning the implementation of both the model and the backtest : Final_StatsBay.ipynb

About

Using the 10 last days of S&P 500 mouvements (Up, Down & Flat) to predict a "naive" most likely move for the next day -- Bayesian Statistics project for ENSAE

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages