grananqvist/Awesome-Quant-Machine-Learning-Trading
A curated list of books, papers, and resources for machine learning applied to quantitative and algorithmic trading.

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This repository aggregates references and learning materials focused on financial machine learning, algorithmic trading strategies, and quantitative investment. It primarily lists books, papers, and educational resources rather than providing code, models, or tooling. The content covers topics like backtesting, feature engineering for financial data, and deep learning applications in trading.