A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Books

A lightweight Python wrapper for the IG Markets API

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Webull OpenAPI aims to provide quantitative trading investors with convenient, fast and secure services. Webull aims to help every quant traders achieve flexible and changeable trading or market st…

My quant portfolio leverages quantitative finance and data-driven insights to optimize investment strategies. Using advanced models, statistical analysis, and machine learning, I develop systematic…

Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post …

Supplemental Material for Algorithmic Trading and Quantitative Strategies

An open source highly scalable platform for building cross asset execution orientated trading applications that can be easily deployed on-prem or in the cloud. Primarily written in Golang, with a J…

Access large language models from the command-line

A lightweight Python wrapper for the IG Markets API

Contains Forex Algorithms using automated strategies with FXCM, Oanda REST APIs