£146.49

Deep Learning Tools for Predicting Stock Market Movements

AI & Machine Learning

Price data last checked 46 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 45 days • 45 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 45 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £156 (32 days, 71.1%)

Price range: £146 - £156

Price levels: 3 different prices over 45 days

Description

DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.

Product Specifications

Format: Hardcover
ASIN: 1394214308
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 16 April 2024
Listed Since: 12 March 2024

Barcode

No barcode data available

Deep Learning Tools for Predicting Stock Market Movements

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning in Quantitative Finance (Wiley Finance)

Machine Learning and AI in Finance

Market Making Algorithms: 33 Comprehensive Powerful Algorithms With Full Python Code

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI

Quantitative Algorithm Design for FX Markets: Building High-Frequency Trading Systems With Python (The Artificial Edge: Quantitative Trading Strategies with Python)

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Deep Learning Approaches to Cloud Security (Advances in Cyber Security)

Cambridge Deep Learning in Quantitative Trading Book

AI in the Financial Markets: New Algorithms and Solutions (Computational Social Sciences)

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Machine Learning for Algorithmic Trading - Second Edition: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection: From Classical Foundations to Cutting-Edge Applications

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Time Series Forecasting in Python

Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization

Applications of Computational Intelligence in Data-Driven Trading

Machine Learning in the Analysis and Forecasting of Financial Time Series

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)

Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing)

Machine Learning for Asset Pricing and Management

Machine Learning in Finance: From Theory to Practice