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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.

Pros & Cons

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pros

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pros

Features with many positive mentions

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Comprehensive Learning

Customers highly praise the comprehensive learning experience provided by the book, with many emphasizing its educational value and practicality. The author's expertise and real-life experiences are described as invaluable for traders looking to improve their skills and achieve success.

Real-Time Strategy Building

Customers have a generally positive opinion regarding the real-time strategy building aspect of the book "Building Winning Algorithmic Trading Systems". The book provides valuable insights into the process of creating, monitoring, and going live with profitable strategies. Many reviewers praise the author's comprehensive approach to system development, emphasizing the importance of setting goals, handling data, major stages of system development, performance evaluation, prediction, and psychology. Some also highlight the author's expertise in the field and his availability for support. A small group of customers mention some challenges they faced while following the process outlined in the book but overall find it

neutral

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neutral

Frequently mentioned features with split sentiment

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Scientific Strategy Testing

Customers who have read Building Winning Algorithmic Trading Systems praise its thorough explanation of strategy testing methods, including backtesting, out-of-sample testing, walk-forward testing, and Monte Carlo analysis. They appreciate the author's emphasis on avoiding over-optimization and ensuring statistical validity in trading systems. Some reviewers have found the book particularly helpful for separating successful strategies from those that are not worth pursuing.

Code Examples

Customers have mixed opinions regarding the code examples in the book, with most expressing positive sentiments towards the practical tips and real-world applications. However, a small group of reviewers felt that the code examples were not specific enough or lacked substance, potentially due to the focus on trend following strategies and the absence of significant performance data from live trading.

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Highlights

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Quality


He mixes high human qualities and values, that are necesary for beeing successful at any challenge in life, with a high degree ...  Read More


Very impressed with the quality of the material.


I have seen mountains of garbage published about how to trade over the years.


Moreover, even a valid backwards test, unless accompanied by the proper walk forward test + adding slippage and commissions wil...  Read More

Price


Even established investors could save money,with some of his ideas,i suspect.

Competitiveness


Knowing that you have a system with a statistically provable edge gives a trader the confidence and incentive to trade better.


The other key is this guy has demonstrated his knowledge via real world trading, including documented competitions (granted at ...  Read More


Most retail traders don't know that they can use their computer to test different combinations of indicators, entry methods, fi...  Read More


To only point out that "the euro strategy in the book is not doing great" is missing the forest from the trees.

Overview

  • How are reviewers describing this item?
    good, real, algorithmic, great and many.
  • 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 319 reviews as of our last analysis date on Nov 20 2024.

Helpful InsightsBETA

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

    Posted by a reviewer on Amazon

    If you are just optimizing then trading and wondering why your strategies dont work in real life


    Posted by a reviewer on Amazon

    Do yourself a favor and learn the right way first


    Posted by a reviewer on Amazon

    I had great backtests than showed i was going to make tons of money


    Posted by a reviewer on Amazon

    But for some reason four years later i have earned some money with them but lost some more


    Posted by a reviewer on Amazon

    This is not a book about indicators instead it discusses methods the process and discipline in building algorithmic trading systems


    Posted by a reviewer on Amazon

    If you plan to venture into algo trading it is important to have a dependable repeatable process that will improve your results


    Posted by a reviewer on Amazon

    However it is much harder to build one that will work well in real time trading


    Posted by a reviewer on Amazon

    The book reveals what most retail traders will never know even exists

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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.

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