#Quant-dev

rmcmillan34

algorithmic-trading-learning-roadmap

A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository serves as a structured template, guiding users through essential topics in software engineering, data science, machine learning, and finance. It combines certifications, curated resources, and hands-on projects.

LouisSch

Backtest-Engine

A modular high-performance C++ backtesting engine featuring GBM + Jump tick simulation and multiple plug-and-play trading strategies. Containerized with Docker for easy execution.