Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Algorithmic Training, Future Markets, and Big Data for Finance Digitalization

Algorithmic Training, Future Markets, and Big Data for Finance Digitalization

Raza, Hamad
Riaz, Ahsan
Riaz, Nimra

Paperback

Investing & FinanceGeneral ComputersProgramming

ISBN13: 9798369363874
Publisher: IGI Global
Published: Jan 8 2025
Pages: 524
Weight: 1.98
Height: 1.05 Width: 7.00 Depth: 10.00
Language: English
Algorithmic training, future markets, and big data are at the forefront of the digitalization revolution in finance, driving innovation and reshaping the industry's landscape. The integration of algorithms in financial decision-making enables faster, accurate predictions and automated processes, optimizing trading strategies and risk management. As financial markets evolve, future-oriented technologies, including artificial intelligence and machine learning, offer new areas for growth, with algorithms refining their effectiveness in response to real-time data. Big data provides vast amounts of information that can be analyzed to identify trends, enhance customer experiences, and inform investment strategies. Together, these elements transform finance into a more agile, data-driven system, increasing digitalization and creating new opportunities for growth, efficiency, and innovation. Algorithmic Training, Future Markets, and Big Data for Finance Digitalization explores the most current and transformative trends in the world of digital finance, from digital currencies to blockchain, fintech, financial inclusion and artificial intelligence. It offers a comprehensive analysis of how technology is revolutionizing financial services, products, and access for individuals and institutions alike. This book covers topics such as data science, financial technology, and machine learning, and is a useful resource for business owners, computer engineers, entrepreneurs, economists, finance professionals, academicians, and researchers.

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