GitLab

Pair trading in C++

MonteCarlo and Arima for stock selection

Trading strategy for the S&P 500 index based on ARIMA models.

Use of genetic algorithms for a simple trading strategy, in C++.

Networks Football Task

project with maria

Machine learning model that uses signatures to recognise handwritten signatures.

Signature-based machine learning model that predicts, given daily data of a stock (more specifically, the evolution of its price and volume) which country the stock trades in.

2D DEM simulation showing brazil nut effect

ESGI116 Technip Project on Umbilical Optimised Design

This includes an implementation of Conditional Variational Autoencoders (CVAE).

Code from the paper "A signature-based machine learning model for bipolar disorder and borderline personality disorder".