High-Performance Algorithmic Trading Using AI.pdf

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High-Performance
Algorithmic
Trading Using AI
Strategies and insights for developing
cutting-edge trading algorithms
Melick R. Baranasooriya
www.bpbonline.com
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First Edition 2024
Copyright © BPB Publications, India
ISBN: 978-93-65895-872
All Rights Reserved.
No part of this publication may be reproduced, distributed or transmitted in
any form or by any means or stored in a database or retrieval system, without the prior written
permission of the publisher with the exception to the program listings which may be entered,
stored and executed in a computer system, but they can not be reproduced by the means of
publication, photocopy, recording, or by any electronic and mechanical means.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the best of author’s and publisher’s
knowledge. The author has made every effort to ensure the accuracy of these publications, but
publisher cannot be held responsible for any loss or damage arising from any information in
this book.
All trademarks referred to in the book are acknowledged as properties of their respective
owners but BPB Publications cannot guarantee the accuracy of this information.
www.bpbonline.com
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Dedicated to
My beloved wife,
Sachika Imali Semage
and
My cherished son,
Nich Olin Baranasooriya
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About the Author
Melick Rajee Baranasooriya,
an accomplished Enterprise Architect and Co-founder
of an AI Startup. He brings extensive international experience in establishing digital
technology footprints, delivering financial solutions, aligning enterprise technologies, and
driving digital strategies, architectural governance, and data-driven decision-making. His
expertise spans capital markets, trading, and index domains, with significant engagements
in fintech, edtech, legaltech solutions, and government sectors.
He holds a Master's and two Bachelor's degrees in Information Technology, alongside
the globally recognized TOGAF 9.2 Enterprise Architecture certification. Recognized as
a technology leader, he is honored with the Microsoft Most Valuable Professional award
and actively collaborates with global communities and enterprises. His achievements in
areas like data science and IoT demonstrate his capability to address complex challenges
with innovative solutions.
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About the Reviewers
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Devon Y.P. Chan
is a Technical Lead at Forex Forest Algorithmic Trading, where
he has been driving innovation since 2018. With a strong focus on developing
quantitative trading strategies, Devon ensures the creation of low-latency, high-
frequency cross-platform trading environments using deep learning and cloud
computation. His expertise has been instrumental in managing large-scale
projects for government departments and commercial enterprises in Hong Kong.
A graduate of HKUST with a dual degree in Computer Science and Quantum
Physics, Devon's achievements include winning first place in the Microsoft
Challenge at QC Hack 2021. Passionate about integrating cutting-edge
technologies into financial applications, he continues to push the boundaries of
what's possible in algorithmic trading.
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Juergen Weichenberger
has 20+ years of experience in advanced analytics, data
science, database design, architecture, and implementation on various platforms
to solve Complex Industry Problems.
Industrial Analytics, a field that Juergen has significantly influenced, is the fusion
of manufacturing, production, reliability, integrity, quality, sales- and market-
analytics. By combining skills and experience, he has created the next-generation
AI & ML solutions for clients, revolutionizing the industry.
He is driving a team and gaining knowledge to extend the limits of AI and ML
beyond what is currently possible. He holds more than 15 patents and is working
on new innovations. He is working with his partner ecosystem to enrich the
accelerators with modern ML/AI techniques. Integrating robotic equipment will
allow him to create next-generation solutions.
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