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portada Deep Learning Models for Forecasting Financial Markets
Type
Physical Book
Publisher
Author
Language
English
Pages
100
Format
Paperback
Dimensions
22.9x15.2x0.6 cm
ISBN13
9786209342271

Deep Learning Models for Forecasting Financial Markets

Dadashi, Nasrin; Setaei, Khabat (Author) · Scholars' Press · Paperback

Deep Learning Models for Forecasting Financial Markets - Dadashi, Nasrin; Setaei, Khabat

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Synopsis "Deep Learning Models for Forecasting Financial Markets"

This book offers a comprehensive exploration of how artificial intelligence and distributed ledger technology are reshaping modern finance. The book delves into advanced neural network architectures-such as LSTM, CNN, and Transformer models-for predicting market trends, price movements, and trading signals with high precision. It also investigates how blockchain enhances transactional transparency, immutability, and security in financial ecosystems. By merging predictive analytics with decentralized validation, the text presents a novel framework for building trust-driven, data-intelligent financial infrastructures. Practical case studies, algorithmic models, and implementation guidelines make this resource valuable for data scientists, economists, fintech developers, and policy analysts seeking to understand the synergy between AI-driven forecasting and blockchain-based integrity systems.

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The binding of this edition is Paperback.

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