Advanced Financial Time Series Forecasting with Machine Learning and Deep Learning

Name: Advanced Financial Time Series Forecasting with Machine Learning and Deep Learning
Brand: Independently published
SKU: 9798182372633
Price: 222.78 RON
Availability: InStock

Autor: Julian K. Mercer, Danny Munrow

Limbă:

Legare: Carte broșată

Editura: Independently published

Disponibilitate: În depozitul extern

Expediem în 14-21 zile

222.78 lei

Reactive PublishingMaster the art and science of financial time series forecasting using state-of-th...

Informații despre carte

Autor

Julian K. Mercer, Danny Munrow

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2026

Pagini

606

EAN

9798182372633

Enbook ID

52983737

Editura

Independently published

Greutate

723

Dimensiuni

152 x 229 x 38

Descriere completă

Reactive Publishing

Master the art and science of financial time series forecasting using state-of-the-art machine learning and deep learning techniques.

In today's volatile markets, accurate forecasting is essential for quantitative traders, risk managers, and financial analysts. This comprehensive guide explores how modern neural network architectures deliver superior predictive performance on complex, non-linear financial data.

What You'll Discover:

Core principles of financial time series analysis, including stationarity, autocorrelation, and volatility modeling
Practical implementation of Long Short-Term Memory (LSTM) networks for sequential forecasting
Transformer models and their application to market prediction tasks
Hybrid neural architectures that combine the strengths of multiple approaches for enhanced accuracy and robustness
End-to-end workflows for data preparation, model training, validation, and deployment in quantitative trading strategies
Real-world case studies in equity pricing, volatility forecasting, and portfolio optimization

Written for practitioners with a solid foundation in Python and quantitative finance, this book bridges theory and implementation. Code examples, best practices, and performance comparisons help you build production-ready forecasting systems.

Whether you're refining existing models or architecting next-generation solutions, this resource provides the frameworks needed for advanced quantitative market analysis.

Perfect for:

Quantitative researchers and algorithmic traders
Data scientists working in finance
Finance professionals seeking to leverage deep learning

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Advanced Financial Time Series Forecasting with Machine Learning and Deep Learning

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