9798199952149 - behavioral finance meets machine learning: sentiment extraction, attention mechanisms, herding detection, and adaptive trading strategies de van der post, hayden (5 resultados)
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 39,69
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 36,34
Envío por EUR 4,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 50,00
Envío por EUR 62,40Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Reactive PublishingIn the rapidly evolving world of financial markets, traditional behavioral finance theories are being transformed by the power of machine learning. Behavioral Finance Meets Machine Learning explores this powerful intersection, offering a rigorous and practical examination… of how advanced AI techniques can decode human behavior in trading environments.This book provides a deep dive into four critical areas where behavioral insights and machine learning converge: - Sentiment Extraction: Techniques for harvesting and analyzing market sentiment from news, social media, and textual data using natural language processing.- Attention Mechanisms: How transformer-based models and attention architectures can identify what truly drives market movements.- Herding Detection: Advanced methods to detect, quantify, and predict herding behavior among investors in real time.- Adaptive Trading Strategies: Building intelligent, self-adjusting trading systems that incorporate behavioral biases and machine learning signals.Written for quantitative traders, financial researchers, data scientists, and serious investors, this work bridges the gap between theoretical behavioral finance and cutting-edge computational methods. Hayden Van Der Post combines academic rigor with practical implementation guidance, presenting both the underlying principles and real-world applications.Whether you are looking to enhance your understanding of market psychology through AI or develop more resilient algorithmic trading strategies, this book delivers the conceptual foundation and technical tools needed to navigate the complex interplay between human emotion and machine intelligence in modern finance.Perfect for readers with a background in finance, machine learning, or quantitative analysis.
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 36,18
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 40,85
Envío por EUR 43,17Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Reactive PublishingIn the rapidly evolving world of financial markets, traditional behavioral finance theories are being transformed by the power of machine learning. Behavioral Finance Meets Machine Learning explores this powerful intersection, offering a rigorous and practical examination…of how advanced AI techniques can decode human behavior in trading environments.This book provides a deep dive into four critical areas where behavioral insights and machine learning converge: Sentiment Extraction: Techniques for harvesting and analyzing market sentiment from news, social media, and textual data using natural language processing.Attention Mechanisms: How transformer-based models and attention architectures can identify what truly drives market movements.Herding Detection: Advanced methods to detect, quantify, and predict herding behavior among investors in real time.Adaptive Trading Strategies: Building intelligent, self-adjusting trading systems that incorporate behavioral biases and machine learning signals.Written for quantitative traders, financial researchers, data scientists, and serious investors, this work bridges the gap between theoretical behavioral finance and cutting-edge computational methods. Hayden Van Der Post combines academic rigor with practical implementation guidance, presenting both the underlying principles and real-world applications.Whether you are looking to enhance your understanding of market psychology through AI or develop more resilient algorithmic trading strategies, this book delivers the conceptual foundation and technical tools needed to navigate the complex interplay between human emotion and machine intelligence in modern finance.Perfect for readers with a background in finance, machine learning, or quantitative analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
