Mastering Python for Finance

Provides ready-to-run code for advanced financial calculations like options pricing and PCA, saving time on implementing complex algorithms from scratch, as shown in the detailed chapter examples.

Covers a wide range from linear models to deep learning, offering a comprehensive resource for various financial techniques, including time series analysis and algorithmic trading platforms.

Includes step-by-step examples for creating event-driven backtesting tools and high-frequency trading platforms, directly applicable to real-world financial problem-solving.

Implements state-of-the-art methodologies such as machine learning for predictions and risk management with VaR, aligning with current financial industry practices as described in the book.