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

by Andreas Clenow (Author) Format: Kindle Edition
4.4 out of 5 stars 230
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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

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  1. Print length
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    10 August 2019
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Product details

  • ASIN ‏ : ‎ B07VDLX55H
  • Publisher ‏ : ‎ Perpendicular Publishing; 1st edition (10 August 2019)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 10617 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ Not enabled
  • Print length ‏ : ‎ 632 pages
  • Customer Reviews:
    4.4 out of 5 stars 230

About the author

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Andreas Clenow

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.

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4.4 out of 5 stars
4.4 out of 5
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Top reviews from Australia

Amazon Customer
5.0 out of 5 stars This systematic trading book is a multi-faceted gem
Reviewed in Australia on 26 August 2019
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For the new trader who wants to explore trading systems concepts such as trend following, mean reversion and momentum, this book provides an extensive set of tested code that allows you to get on with the task of exploring the concept rather than the mechanics of programming it. For someone relative new to Python and trading this would save them dozens of hours and flatten the learning curve. You still need to dedicate time and effort towards learning the environment though.

For the more advanced trader, this book discusses explores many critical components of a trading system including portfolio management and rebalancing, trading system evaluation metrics, backtesting package integration and the effects of combining multiple systems. These are presented in a logical and easy-to-implement manner.

There's dozens of insights beyond Python programming on topics such as trading psychology, comparison of asset classes, shorting, risk management and pitfalls of particular ETF types. These would normally take a trader years to accumulate through experience.

It's rare to see all of this in a single book.

Even if you don't use Python right now, this book will provide you with a vast set of pragmatic insights about systematic trading.

If you are using Python, this book is invaluable.
One person found this helpful
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Namakakiweyho
5.0 out of 5 stars Easy to follow for those already familiar with a programming language
Reviewed in Australia on 18 March 2020
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Andreas style of writing lends itself to the easy style of Python programming for those already familiar with programming in another language. This book is easy to follow and Andreas encourages you to try out his coding snippets and build on the experience to further develop your own strategies. Overall an excellent book into the world of Python and market trading systems.
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Top reviews from other countries

Kax
5.0 out of 5 stars opened my eye to professional trading
Reviewed in the United States on 14 August 2023
Verified Purchase
I've read a lot of trading books, but i felt they all lacked simple explanations of this one. Ive read books like cybernetic trading algorithms, little blue book that beat the market etc. Those were too advanced for someone like myself. This book was able to fill in a lot of details for me. If anyone is interested in trading stocks this is a good book to start with. he gives a great foundation of what a trader is trying to do and what models do. Anything beyond that he leaves up to other books such as the others i have mentioned.
i havent yet gone through the code or built my db for stock analysis, but I feel like he provided enough information to know what I am aiming to do.
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Brian Hoang
5.0 out of 5 stars The trading book for serious hobby systematic traders.
Reviewed in Canada on 17 August 2019
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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.
2 people found this helpful
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Justin
5.0 out of 5 stars Really Insightful
Reviewed in the United Kingdom on 10 March 2020
Verified Purchase
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.
7 people found this helpful
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Cyril B.
5.0 out of 5 stars The best book to start backtesting with Python!
Reviewed in France on 5 September 2019
Verified Purchase
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.
One person found this helpful
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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 27 August 2019
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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.
11 people found this helpful
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