richy1996

scikit-learn

scikit-learn: machine learning in Python

ta

Technical Analysis Library using Pandas and Numpy

autokey

AutoKey, a desktop automation utility for Linux and X11.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Pipe

A Python library to use infix notation in Python

Machine-Learning-for-Algorithmic-Trading-Second-Edition

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

pingouin

Statistical package in Python based on Pandas

volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

dfply

dplyr-style piping operations for pandas dataframes

defi-derivatives

A hopefully comprehensive guide to the defi derivative landscape

pyfolio-reloaded

Portfolio and risk analytics in Python

bioinfokit

Bioinformatics data analysis and visualization toolkit

nolds

Nonlinear measures for dynamical systems (based on one-dimensional time series)

geneticalgorithm

Genetic Algorithm Package for Python

pairs-trading-with-ML

yahoo-earnings-calendar

Scrapes Yahoo! Finance earnings calendar to get data for a specific date or a date range.

gsoc17-hhmm

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

Algorithmic-Short-Selling-with-Python-Published-by-Packt

Algorithmic Short-Selling with Python

sklearn-som

A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.

QuantBasics1-4

QC-Trading-Bot-YT

YouTube series in which I research and code a trading bot in Python. This code is for the trading bot on the QuantConnect platform.

quantipy3

Python 3 version of Quantipy

SpotifySentiment

The aim of this project is to map and analyse the sentiments of different countries based on their music tastes over time. The data is presented in a web app coded in Python using the Plotly Dash package.

terality-demo-notebooks

Demonstration notebooks for the Terality serverless data processing engine (www.terality.com)

wagmi

An execution framework for systematic strategies

yolo

Automation for the RobotWealth cryptocurrency YOLO strategies

ftx_zorro_plugin

FTX Plugin for Zorro Trader

IdeaStreams

Fortnightly YouTube series I present for QuantConnect on their channel where I research, develop and test quantitative trading strategies based on current market events.