Library for fitting the LPPLS model to data.

This repository holds my paper implementations made for my studies and my content production

The official example scripts for the Numerai Data Science Tournament

A starting point for understanding how to grow vegetables at home

Resources for working with time series and sequence data

algorithmic trading using machine learning

Advances in Financial Machine Learning

A pre-trained GPT model for Python code completion and generation

Collection of algorithms for online portfolio selection

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Python implementation of Empirical Mode Decompoisition (EMD) method

A Python package for FORCE training chaotic neural networks

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Workbooks for the Discord channel

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

Code for "Efficient Implementations of Echo State Network Cross-Validation"

Perform early chaos detection using Machine Learning

Find big moving stocks before they move using machine learning and anomaly detection

The plant disease detection system with efficient image segmentation and feature extraction algorithms and statistical models.

Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals

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

SmartThings open-source DeviceTypeHandlers and SmartApps code