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Trading Evolved: Anyone can Build Killer Trading Strategies in Python Kindle Edition

4.4 4.4 out of 5 stars 250 ratings

Systematic trading allows you to test and evaluate your trading ideas before risking your money. By formulating trading ideas as concrete rules, you can evaluate past performance and draw conclusions about the viability of your trading plan.

Following systematic rules provides a consistent approach where you will have some degree of predictability of returns, and perhaps more importantly, it takes emotions and second guessing out of the equation.

From the onset, getting started with professional grade development and backtesting of systematic strategies can seem daunting. Many resort to simplified software which will limit your potential.

Trading Evolved will guide you all the way, from getting started with the industry standard Python language, to setting up a professional backtesting environment of your own. The book will explain multiple trading strategies in detail, with full source code, to get you well on the path to becoming a professional systematic trader.

This is a highly practical book, where every aspect is explained, all source code shown and no holds barred.

Written by Andreas F. Clenow, author of the international best sellers Following the Trend and Stocks on the Move, Trading Evolved goes into greater depth and covers strategies for trading both futures and equities.

"Trading Evolved is an incredible resource for aspiring quants. Clenow does an excellent job making complex subjects easy to access and understand. Bravo."
Wes Gray, PhD, CEO Alpha Architect

Due to its large file size, this book may take longer to download

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Product details

  • ASIN ‏ : ‎ B07VDLX55H
  • Publisher ‏ : ‎ Perpendicular Publishing; 1st edition (August 10, 2019)
  • Publication date ‏ : ‎ August 10, 2019
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 10.4 MB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 440 pages
  • Page numbers source ISBN ‏ : ‎ 109198378X
  • Customer Reviews:
    4.4 4.4 out of 5 stars 250 ratings

About the author

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Andreas Clenow
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Andreas Clenow is a Swedish Swiss author, asset manager, and entrepreneur based in Zurich, where he is the Chief Investment Officer of a family office. He has been a tech entrepreneur, a financial consultant, hedge fund manager, financial engineer, quantitative trader, financial advisor, board member, and a middle management corporate bureaucrat during his illustrious career.

Customer reviews

4.4 out of 5 stars
250 global ratings

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Customers say

Customers find the book provides useful concepts and advice. They appreciate the clear explanations and reader-friendly tone. The book provides an introduction and refresher to various strategies in a user-friendly manner. Readers also like the extensive library of Python libraries, sample code, backtesting, databases, and strategy creation tools included.

AI-generated from the text of customer reviews

25 customers mention "Information quality"18 positive7 negative

Customers find the book provides helpful concepts and advice, providing an introduction to newbies and gradually going in-depth on various strategies. They find the concepts nicely explained, making it a great how-to guide for creating trading strategies and building a portfolio of strategies. The book transparently explains the ups and downs on tech choices, and is a good shortcut to professional trading knowledge.

"...experience with Python beforehand, I still found this intro and refresher very helpful, and it is suitable for someone who has never written a line..." Read more

"...that, I got a lot out of the book and found that it helped me in my journey of algo-trading. The strategy examples are fairly good." Read more

"...This book is a continuation of that idea in that it puts the needed information for starting the Python strategy process in one place, and lays it..." Read more

"...The important part were his ideas and concept on his strategy and how he could include his strategy in the backtest environment of zipline...." Read more

7 customers mention "Writing style"7 positive0 negative

Customers find the book easy to read and understand. They appreciate the author's writing style that makes it enjoyable to read. The book focuses on writing code efficiently and teaching readers how to develop backtests.

"...The book focuses on writing code as efficiently as possible and teaches the reader to develop backtests by going through examples of basic, well-..." Read more

"...That said, what it covers it covers well and the author's style makes it easy and enjoyable to read...." Read more

"...the ups and downs on every of the tech choices and it is very detailed on how to write code to get the analysis done...." Read more

"Excellent book. The book was easy to read and understand. As a python programmer, I could relate to his codes easily...." Read more

3 customers mention "Library size"3 positive0 negative

Customers appreciate the library size. They find it contains Python libraries, sample code, backtesting, databases, and strategy creation files. However, some dislike the difficulty in installing zip line.

"..."recipes" to create intended results from using Python and its vast libraries...." Read more

"...through Python installations, setups, sample code, backtesting, databases, and strategy creation - all with concise writing and thoughtful purpose...." Read more

"I liked the files added, I disliked the trouble to install zip line" Read more

Top reviews from the United States

  • Reviewed in the United States on August 23, 2019
    Overall I rated this book 5 stars. I can count on my hand the number of trading authors that (in my opinion) offer next level education for retail traders. Although I managed a small group of investors' accounts trading currencies and I currently trade 20+ automated trading strategies, I am far from a hedge fund manager or CTA running billions. Andreas for me hits a very sweet spot between retail and big-time professional trader. I think the content and base strategies could give anyone a great framework for building a portfolio of strategies. Now this is within reason, as obviously some of the models require substantial assets to trade properly. Others such as the momentum stock model can be scaled and added to a traders existing strategy.

    The only negative for me is the programming and python coding required for performing the analysis. Granted he was very straight forward with stating this is not going to make anyone an expert in Python or the programming needed; however, someone that is used to Easy Language or a simpler programming code will probably struggle like I did. There are many applications that rely on other applications and they don't always sync or there are bugs in trying to get a full working system. That doesn't take away from the knowledge and information in the book, I just think most traders without a heavy programming background will probably struggle trying to code their own strategies.

    I am impressed with what python and the back testing models can do, but it will likely take quite a bit of time for me to reap the rewards without much self study / additional training. That is about an honest review as I can give! I am big fan of his work and the only negative is the hurdle of learning the programming.
    25 people found this helpful
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  • Reviewed in the United States on August 24, 2019
    If you are a trader who is already familiar with the basic concepts of quantitative finance, but lack a programming background, you will enjoy this book. After a few short introductory chapters (which many finance readers could skip), he gets to the point, introducing the reader to the basics of backtesting in Python. While I had some experience with Python beforehand, I still found this intro and refresher very helpful, and it is suitable for someone who has never written a line of code before. The book focuses on writing code as efficiently as possible and teaches the reader to develop backtests by going through examples of basic, well-known strategies.

    "[The] trading logic could be done in just a few simple statements. This is exactly what you want with a backtesting environment. You want to focus on what’s important. You want to spend your time testing your trading ideas, not writing page after page of code just to get simple stuff done. Python, with some help from Zipline and Pandas can achieve this for you."

    You will not suddenly become a quant by reading this book; but if you are interested in building on what you already know, learning how to test trading theories or ideas you have already developed, or simply want to understand what your quant colleagues are spending their time doing, then this will be very helpful to you.

    (Note: there is a helpful errata list on Clenow's website that he keeps up to date, where he works with readers to address problems as they arise when implementing the code in different environments.)
    8 people found this helpful
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  • Reviewed in the United States on September 17, 2020
    I really wanted to love this book, but was frustrated with the data wrangling portion of the book. I came in with some okay knowledge of Python (I recommend you learn some Python basics before touching this book) but was disappointed with the data preparation portions of this book. You simply can't build a good algo-trading strategy without good data.

    Mr. Clenow chose to use Zipline for backtesting, which is a very powerful yet overly complex Python package with terrible documentation. The default pricing data in that package is from Quandl and has not been updated in a couple of years. I struggled for a couple of weeks to get my own pricing data ingested into Zipline, and had to basically how out most of Mr. Clenow's code and muddle through the Zipline documentation. I even had to fix some bugs in the zipline code to get dividend data working correctly. Also, Mr. Clenow neglected to go into adding benchmark data, which I finally got working after lots of trial and error.

    Aside from that, I got a lot out of the book and found that it helped me in my journey of algo-trading. The strategy examples are fairly good.
    3 people found this helpful
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  • Reviewed in the United States on August 20, 2019
    I have read both of Andreas' previous books, and they both opened doors and cleared the fog and mystery that pervades the trading book world.
    This book is a continuation of that idea in that it puts the needed information for starting the Python strategy process in one place, and lays it out sequentially so that it makes sense. Everything is there to get a pretty green newbie up to speed. I am that newbie! Combine that with the detailed strategies complete with downoadable code freely available on his website, and you have 7 strategies with full explanation and code, and then code, ideas and explanations on combining the strategies etc. The value here is huge--you are given a short cut to professional trading knowledge, and as with his other books it is also an enjoyable read. The newbie like me can set things up based on the sequence in the book; follow along and paste in code; then modify the code and save versions to see how things work. Awesome!
    While the book basically hands you everything you need to get started, there will be more work involved in really understanding what is happening enough to get your hands dirty researching ideas that are not explored in the book. Needless to say, that's the reason you pick this book up to begin with, and it is a great way to set the foundation for more exploration.
    8 people found this helpful
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Top reviews from other countries

  • Brian Hoang
    5.0 out of 5 stars The trading book for serious hobby systematic traders.
    Reviewed in Canada on August 17, 2019
    The headline covers my thoughts: it's aimed for serious systematic traders.

    For casual traders/ curious readers: this book is not for readers who do not know programming and expect to pick up Python and trading in one shot with a 500-page book. There will be technical challenges along the way in various forms, from setting up the environment, understanding the code, etc. Even if one knows Python, there is still an issue of data, which doesn't come with the code, so one can't even run the code successfully. Now, even without able to use any of the code, the casual traders / curious readers probably still find some values in the book. They can pick up some nuisances about trading and market along the way, and can gain some inspirations about systematic trading. At the very least, it's good entertainment for 10 bucks.

    For the serious hobby traders: this is the only book that covers the whole process of building backtest from end-to-end, saving you hundreds of hours trying to figure it out yourself. Some other books have nuggets of code here and there, but nobody has provided end-to-end code before. The only thing that is not covered is how to turn into live trading, which the author doesn't want to get into in fear of potential litigations from people losing money trading these systems. It's not only about the code provided, the author also tries to instill some key principles along the way, such as diversification, not overfitting, how to evaluate system performance, etc. Now, each of those topics can be a book by itself; so, there are a lot of rooms for research still. After all, one shouldn't expect to get turnkey trading solutions from a public book! Clenow is on a mission of democratising hedge-fund-style systematic trading. In his previous books, he basically pointed out the door to hobby traders. In this book, he goes a step further by opening the door. A number of people will complain about editorial errors, and technical challenges with the code, etc.; but that is like looking at the trees instead of the forest. Use this book as a starting point, work through it, personalize the algorithms, and go from there.
  • Justin
    5.0 out of 5 stars Really Insightful
    Reviewed in the United Kingdom on March 10, 2020
    I don't think I've ever written a review before but was compelled to do so. This is mainly because of how open the author is with some of these strategies. Its a great book to promote ideas. I am a complete novice re: programming (i.e my understanding is limited to turning a computer on) so I wouldn't say I found it a walk in the park but then what is. However with time and effort it starts to come together. You can use the book in a variety of ways - as a beginner you will spend much of your early time getting your head around the programming. For those already able to program then you can jump around. There are multiple types of trading across various asset classes so should be something for most people.
  • Cyril B.
    5.0 out of 5 stars The best book to start backtesting with Python!
    Reviewed in France on September 5, 2019
    If you are wondering how to start using python to create trading models, this book is for you. Andreas is not a full-time programmer but he knows a lot about the financial industry and how to build trading models. Without his book it took me a full year to start installing / using Python Anaconda and libraries like Numpy, Pandas, zipline etc. After reading it I think you can make it in 3-6 months. Of course you will need to work hard but the writer will assist you and give you some useful guidances in each chapter.
    If you are already an expert in backtesting and programming maybe you will be a bit disappointed but the goal here is not advanced programming. Anyway you should learn a lot from a professional investor, especially on how to build serious backtests and analyse results.
    Congratulation for this excellent book Mr Clenow and thank you so much for sharing everything with us.
  • Richard Jeroense
    5.0 out of 5 stars Best, unfortunately only book, that helps you gain a robust edge for trading success!
    Reviewed in Germany on August 27, 2019
    Algorithmic trading models, python, Quantopian/Zipline seem very worthy methods and tools to combat the exciting but very complex world of trading/investing. Information on each of these items is typically scattered around many IT-or data science oriented websites, blogs or books that lack practical application for the purpose of trading. In my view, Andreas Clenow has produced finally a book that helps both professionals and retail investors to understand and apply these topics holistically for use in your own trading. Not only that, but Andreas with his extensive industry experience, explains very well why certain strategies only partly work, the benefits and need to diversify across markets, the difficulty of trading stocks versus futures, etc. even though he provides many sophisticated quant models, e.g. equity momentum strategy, he mainly helps the reader to understand that in today’s trading environment, any trader needs to be flexible and anticipate by constantly researching, developing and back testing their models. This is a great book that helps anyone to build up this competency from scratch. I can highly recommend this, unfortunately this is pretty much the only book in this space that is so helpful and practical, I hope many will follow.
    One person found this helpful
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  • Nilesh
    5.0 out of 5 stars Powerful knowledge into the hands of retail traders
    Reviewed in India on August 21, 2019
    Excellent book written by Andreas to enable retail traders to succeed in systematic trading. Unlike the other 2 books which detailed on the specific systematic trading models, in this book he has actually explained in simple language how to setup fully functional systematic back-testing platform and run tests with source code shared for multiple systematic strategies.

    The information shared is not easily available to retail traders unless one is exposed to professional setup. I had eagerly awaited for this book and most probably the 1st one to purchase it on Amazon. Completed reading the book within a week and was able to easily setup and test the strategies on the back-testing platform.

    A must read for someone interested to learn the internal working of professional systematic funds. Andreas has shared enough information in the book to make readers be in par with professionals. Once you have understood these concepts the possibilities are limitless.

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