Deep Neural Networks for Option Price Prediction (Paperback)

Maxwell Vector

ISBN 13: 9798312227079

Editore: Independently Published, 2025

Riguardo questo articolo

Paperback. Discover the Cutting-Edge Framework for Option Price Prediction Using Deep Neural Networks Step into the world of quantitative finance and algorithmic trading with a textbook that bridges rigorous academic principles with hands-on Python programming. This resource empowers you to build robust option pricing models from the ground up, integrating fundamental concepts with advanced neural network strategies. Key Features Include: Step-by-Step Code Examples: Follow full Python implementations that guide you through each algorithmic concept-from basic linear algebra and tensor operations to sophisticated optimization and network architectures.In-Depth Theoretical Insights: Gain a solid understanding of gradients, backpropagation, and regularization techniques, all explained with academic clarity and precision.Tailored for Financial Markets: Learn specialized methods for processing time-series data unique to option pricing, ensuring the algorithms are both practical and powerful in real-world applications.Optimized for Performance: Explore modern techniques like adaptive learning rates, batch normalization, and parallel computing to maximize your model's efficiency and reliability. Whether you're a researcher, trader, or data scientist, this textbook offers you the tools to transform market data into actionable insights-elevating your algorithmic trading strategy one code line at a time. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9798312227079

Dati bibliografici

• Titolo: Deep Neural Networks for Option Price Prediction (Paperback)
• Editore: Independently Published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798312227079
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

Discover the Cutting-Edge Framework for Option Price Prediction Using Deep Neural Networks

Step into the world of quantitative finance and algorithmic trading with a textbook that bridges rigorous academic principles with hands-on Python programming. This resource empowers you to build robust option pricing models from the ground up, integrating fundamental concepts with advanced neural network strategies.

Key Features Include:

• Step-by-Step Code Examples: Follow full Python implementations that guide you through each algorithmic concept—from basic linear algebra and tensor operations to sophisticated optimization and network architectures.
• In-Depth Theoretical Insights: Gain a solid understanding of gradients, backpropagation, and regularization techniques, all explained with academic clarity and precision.
• Tailored for Financial Markets: Learn specialized methods for processing time-series data unique to option pricing, ensuring the algorithms are both practical and powerful in real-world applications.
• Optimized for Performance: Explore modern techniques like adaptive learning rates, batch normalization, and parallel computing to maximize your model's efficiency and reliability.

Whether you're a researcher, trader, or data scientist, this textbook offers you the tools to transform market data into actionable insights—elevating your algorithmic trading strategy one code line at a time.