Price loading...

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

E-commerce

Price data last checked 104 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms. The text also casts a forward-looking gaze on the industry, predicting future trends while spotlighting the genetic algorithms in high-frequency trading, predictive analysis, and forecasting. Including research findings, case studies, best practices, and conceptual insights makes this book an indispensable reference for undergraduate, graduate, and executive students specializing in business, finance, economics, and technology. Beyond academia, the book finds resonance with industry professionals, policymakers, investors, and corporate executives, offering a nuanced understanding of the transformative impact of algorithmic approaches in shaping the future of financial technology.

Product Specifications

Format: hardcover
ASIN: B0CNK8CXVV
Category: Books > Subjects > Business, Finance & Law > E-Commerce > E-commerce
Domain: Amazon UK
Release Date: 19 April 2024
Listed Since: 17 November 2023

Barcode

No barcode data available

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

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Advanced Machine Learning Algorithms for Complex Financial Applications (e-Book Collection - Copyright 2022)

Algorithmic Trading Hands-On Approach Using Python

Artificial Intelligence (AI) and Finance: 488 (Studies in Systems, Decision and Control, 488)

Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques

Algorithmic Pattern Recognition in Day Trading (The Artificial Edge: Quantitative Trading Strategies with Python)

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

Electronic and Algorithmic Trading Technology: The Complete Guide (Complete Technology Guides for Financial Services)

Big Data Analytics Techniques for Market Intelligence

AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications

Digital Twin Technology and AI Implementations in Future-Focused Businesses

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

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

Leveraging AI for Effective Digital Relationship Marketing

Applications of Computational Intelligence in Data-Driven Trading

Handbook of Research on AI and ML for Intelligent Machines and Systems

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

Algorithmic Trading: A Practitioner's Guide

L’Art du Trading Technique et Algorithmique: Guide Complet du Trading Intelligent pour négocier sur Tous les Marchés avec Succès

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

Options Pricing with AI (The Artificial Edge: Quantitative Trading Strategies with Python)

Emerging Advancements in AI and Big Data Technologies in Business and Society

Deep Learning Tools for Predicting Stock Market Movements

Artificial Neural Networks in Finance and Manufacturing