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Applications of Computational Intelligence in Data -Driven Trading (Hardcover)
Loot Price: R1,430
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Applications of Computational Intelligence in Data -Driven Trading (Hardcover)
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"Life on earth is filled with many mysteries, but perhaps the most
challenging of these is the nature of Intelligence." - Prof.
Terrence J. Sejnowski, Computational Neurobiologist The main
objective of this book is to create awareness about both the
promises and the formidable challenges that the era of Data-Driven
Decision-Making and Machine Learning are confronted with, and
especially about how these new developments may influence the
future of the financial industry. The subject of Financial Machine
Learning has attracted a lot of interest recently, specifically
because it represents one of the most challenging problem spaces
for the applicability of Machine Learning. The author has used a
novel approach to introduce the reader to this topic: The first
half of the book is a readable and coherent introduction to two
modern topics that are not generally considered together: the
data-driven paradigm and Computational Intelligence. The second
half of the book illustrates a set of Case Studies that are
contemporarily relevant to quantitative trading practitioners who
are dealing with problems such as trade execution optimization,
price dynamics forecast, portfolio management, market making,
derivatives valuation, risk, and compliance. The main purpose of
this book is pedagogical in nature, and it is specifically aimed at
defining an adequate level of engineering and scientific clarity
when it comes to the usage of the term "Artificial Intelligence,"
especially as it relates to the financial industry. The message
conveyed by this book is one of confidence in the possibilities
offered by this new era of Data-Intensive Computation. This message
is not grounded on the current hype surrounding the latest
technologies, but on a deep analysis of their effectiveness and
also on the author's two decades of professional experience as a
technologist, quant and academic.
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