slowdive42

Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

algorithmic-trading-aws

aws-trading-bootcamp

Algorithmic_Trading_Machine_Learning

awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)

CSCCT

Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"

data_labeling

Data labeling scripts for machine/deep learning.

financial-indicator-analysis

Pick and compare different financial indicators offered by Ta-lib.

FINANCIAL-MATHMATICAL-EQUATION

Financial-series-and-Triple-Barrier-Method

I did this project as one of the parts from a Python test for my Master's degree. The objective was to practice the treatment of financial time series.

slowdive42/FINANCIAL-MATHMATICAL-EQUATION

slowdive42/Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

slowdive42/algorithmic-trading-aws

aws-trading-bootcamp

slowdive42/Algorithmic_Trading_Machine_Learning

slowdive42/awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)

slowdive42/CSCCT

Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"

slowdive42/data_labeling

Data labeling scripts for machine/deep learning.

slowdive42/financial-indicator-analysis

Pick and compare different financial indicators offered by Ta-lib.

slowdive42/Financial-series-and-Triple-Barrier-Method

I did this project as one of the parts from a Python test for my Master's degree. The objective was to practice the treatment of financial time series.

slowdive42/Flexible_Net

This is an example of matching optuna's hyper-parameter tuning options with as many pytorh neural net hyper-parameters as possible.

slowdive42/GPlearn_finiance_stock_futures_extension

This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector of the financial market.

slowdive42/gpquant

Mining technical factors based on symbolic regression via genetic algorithm

slowdive42/Joblib_Accelerating_For_Loop

This is an example of acceleration for for-loops made possible by Joblib libary and muti-core usage.

slowdive42/kaggle

slowdive42/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

slowdive42/machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

slowdive42/mlfinlab

slowdive42/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

slowdive42/reinforcement-learning-trading-commodity-futures

Streamline data processing, agent training and testing implementation for futurers contracts.

slowdive42/slowdive42

Config files for my GitHub profile.

slowdive42/slowdive42.github.io

slowdive42/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models