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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.

Highlights

The AI used to provide these results are constantly improving. These results might change.

Quality


There are also little glimmers of things i did not know of which i am grateful


I’ve read this book and find it extremely good


After experimenting with the amibroker code in the book i must have had a thousand trading system ideas


I do find issue with using 20 pages to show the usage of different machine learning algorithms with the difference being 23 lines of code

Price


Next the use of machine learning to predict prices is introduced


The code alone is worth many times the cost of this book

Competitiveness


My personal library of stock market trading books has easily over 100 titles


If you are at all interested in applying machine learning to trading getting this book is a nobrainer

Overview

  • How are reviewers describing this item?
    bandy, many, technical, quantitative and good.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 39 reviews as of our last analysis date on Aug 18 2021.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    I do find issue with using 20 pages to show the usage of different machine learning algorithms with the difference being 23 lines of code


    Posted by a reviewer on Amazon

    My application of machine learning was however not for trading or any financial services


    Posted by a reviewer on Amazon

    My machine learning experience was using c and c as programming languages


    Posted by a reviewer on Amazon

    Dr bandy takes the classic iris classification problem to illustrate the various machine learning algorithms from the now widely available scikit python ml library


    Posted by a reviewer on Amazon

    What is challenging is the actual execution of the concept


    Posted by a reviewer on Amazon

    Quantitative technical analysis is rigorous yet digestible – no small feat when considering that tackling a topic as increasingly complex as modern quant trading is fraught with potential complication

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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.