Latest AI Book Reviews February 2024

“Quantum Trading”: A Letdown in the World of Finance

Unexciting Reality:

The book “Quantum Trading” by A.E. Ziyyad and others promises a thrilling dive into AI-powered finance. Sadly, it falls flat, failing to deliver on its exciting premise.

Shallow Knowledge, Confusing Delivery:

Instead of insightful explanations and clear , the book throws confusing information at you. It skips over important topics or ignores them entirely, leaving you frustrated and lost.

Compared to the :

If you stack it up against other AI finance like “The Intelligent Investor” by Benjamin Graham or “Algorithmic Trading and DMA” by Barry Johnson, “Quantum Trading” comes up short. These books offer deep , solid research, and practical tips, giving you real value.

Better Choices Out There:

Instead of wasting your time with “Quantum Trading,” I recommend checking out the books mentioned above or other well-respected titles like “Quantitative Trading” by Ernest P. Chan or “Flash Boys” by Michael Lewis. They'll give you a much better understanding of the topic and prepare you for the complexities of the financial markets.

Final Verdict:

“Quantum Trading” is a disappointment that offers nothing of value to readers. It's shallow, confusing, and riddled with errors. If you're serious about learning about AI finance, skip this book and reach for something more substantial.

“Quantitative Trading”: A Flawed Exploration

Promising Topic, Poor Execution:

“Quantitative Trading” by James K. Watkins aims to be an in-depth look at quantitative trading and its mathematical foundations. Unfortunately, it misses the mark completely, failing to live up to its potential.

Mess, Shallow Insights:

The book is riddled with errors when explaining complex mathematical . The explanations are vague and unhelpful, leaving you without a real understanding or ability to apply the material.

Compared to the Best:

Compared to other quantitative trading books like “Algorithmic Trading and DMA” by Barry Johnson or “The Black Swan” by Nassim Nicholas Taleb, “Quantitative Trading” falls short. These books offer clear explanations of the math and technical aspects of algorithmic trading.

Better Choices Out There:

Instead of “Quantitative Trading,” I recommend checking out the books mentioned above or other well-respected titles like “Mastering Financial Mathematics” by John C. Hull or “The Mathematics of Financial Markets” by Robert L. McDonald.

Final Verdict:

“Quantitative Trading” is a letdown that offers no value to readers. It's filled with errors, lacks depth, and provides little practical guidance. If you're serious about learning about quantitative trading, avoid this book and choose something more reliable.

“Cryptocurrency API”: A Letdown for Blockchain Enthusiasts

Grand Promises, Unfulfilled Reality:

“Cryptocurrency API” by William W. Duplessis and others promises to guide you through building blockchain applications using . Sadly, it falls far short of expectations, leaving you disappointed.

Shallow Knowledge, Vague Instructions:

The book offers only surface-level explanations and unclear instructions. The authors seem to have a limited understanding of the subject, making for a frustrating and unrewarding reading experience.

Compared to the Best:

If you compare it to other blockchain and cryptocurrency books like “Mastering Blockchain” by Imran Bashir or “The Bitcoin Standard” by Saifedean Ammous, “Cryptocurrency API” pales in comparison. These books offer a deep dive into the technology and its potential applications.

Missing References, No Practical Application:

“Cryptocurrency API” lacks references to well-established authors and companies in the blockchain and cryptocurrency space. It also fails to provide concrete examples or code, leaving you unable to put what you learn into practice.

Final Verdict:

“Cryptocurrency API” is a disappointment that offers no value to readers. It's shallow, lacks expertise, and provides no practical guidance. If you're serious about learning about blockchain , skip this book and choose something more substantial.

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