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algo-trading-ig-market

An algorithmic trading bot for IG Markets built in Python.

allocation-actifs

beta-nll

beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022

c1adrien

faig

Fully Automated IG Trading

feed-forward-neural-network-from-scratch

a feed forward neural network from scratch, using numpy

heston-vs-wgan-gp

The project aims to compare the effectiveness of the Heston model and WGAN-GP in modeling financial time series data.

ios-app

This is the code I wrote to develop an iOS messaging application.

ios-social-media-app

The objective was to establish a connection between Junior entreprise and students.

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

lob-deep-learning

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

lsh_for_neural_networks_validation

Using local sensitive hashing to validate generative neural networks - research project

machine-learning-and-optimal-trading

TPs du cours "Machine Learning and Optimal Trading"

marketdatacollector

"MarketDataCollector" is a GitHub repository that provides users with four different methods for retrieving financial time series data.

mice

Mutual Information Copula Estimator - research project

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

skfolio

Python library for portfolio optimization built on top of scikit-learn

spoon-knife

This repo is for demonstration purposes only.

timegrad

wgan_financial_time-series

Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.