Format:
1 Online-Ressource (21 PDFs (266 pages))
ISBN:
9798369317471
Content:
"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."--
Content:
"This unique edited book provides a competitive edge in the financial sector by offering a platform for research. It explores the applications of AI-based algorithms for evolving market trends, with a focus on algorithm-based financial solutions for the stock market, portfolio optimization, and financial fraud detection"--
Note:
Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 01/17/2024)
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Mode of access: World Wide Web.
Additional Edition:
9798369317464
Additional Edition:
Erscheint auch als Druck-Ausgabe 9798369317464
Language:
English
DOI:
10.4018/979-8-3693-1746-4
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