Deep Learning for Finance

This hands-on guide introduces deep learning strategies tailored for finance and trading, combining technical and quantitative analysis to build and backtest trading algorithms with Python. Authored by Sofien Kaabar, it covers essential topics like machine learning, reinforcement learning, technical indicators, and algorithm optimization, providing practical insights for developing effective trading models. The book aims to demystify complex concepts and offer a comprehensive foundation for traders interested in integrating deep learning into their strategies.