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advances_in_financial_machine_learning

I tried to solve the questions in 'Advances in Financial Machine Learning' by Lopez de Prado. Many are cloned from other gits.

alpha-scientist

ant-colony-for-fs

Ant Colony Optimization for Feature Selection

chowtest

Python package to test for structural breaks at a specified date using the Chow Test.

cryptocompy

Simple Python 3 wrapper for the public CryptoCompare API.

defi

Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more

erc20

This is an erc20 smart-contract token implemented from scratch in Solidity and deployed to testnet using Truffle. This project was undertaken by myself under the supervision of Blockvis.com.

fracdiff

Moved Permanently: https://github.com/fracdiff/fracdiff

fxcm-forex-data-downloader

Simple python script that bulk downloads historical data from FXCM

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

jhtalib

Technical Analysis Library Time-Series

machinelearningstocks

Using python and scikit-learn to make stock predictions

optlib

A library for financial options pricing written in Python.

quantcon2018

sanpy

Santiment API Python Client

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

trading-rules-using-machine-learning

A financial trading method using machine learning.

tsfel

An intuitive library to extract features from time series

vollib

Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

wrapper-feature-selection-toolbox-python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.