Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Machine Learning in Finance: From Theory to Practice Book

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for b…

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…

Python for Finance Cookbook, published by Packt

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Open sourced research notebooks by the QuantConnect team.

Learning to trade under the reinforcement learning framework

High Frequency Market Making

Python Algorithmic Trading Cookbook, published by Packt

Sources codes for: Mastering Python for Finance, Second Edition

Forex and stock market predictions using transformer

Tutorial: how news affects Netflix' stock price using the newsfilter.io API