Trading Evolved: Anyone can Build Killer Trading Strategies in Python Paperback – August 7, 2019

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.

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.)

Very good read! Gives you the basic tools in a reader friendly tone. I think a follow up book could walk the retail trader through the actual steps to take their algo live. Looking forward to the next one!

I am halfway through the book, but the experience it is worth already. I had wanted to get into python algorithms time ago and this has really been a mind opener.Very transparently, the book explains 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. Also so far the variety of examples provides a wide range of relevant code examples, to put in place your own code taking from here and there.Excellent book!!! Only take into account that there is some work to be done to install libraries and specially the 3.5 python environment but you can find additional guidance on probable problems on the book web page

Not a bad book at all, but it's really about back testing and not trading or trading strategies. In particular it's about back testing using Quandl's zipline. So if you're looking for a book on algorithmic trading you've come to the wrong place.That said, what it covers it covers well and the author's style makes it easy and enjoyable to read. If you want to learn about the ins, outs and pitfalls of back testing it's a worthy source. Just don't expect to learn how to "build killer strategies in Python" as the subtitle suggests. If it wasn't for the discrepancy between the title and the contents I'd give it more stars, but as it stands it deserves only three.

Amazing I love this book, it will provide you all the details you need to build your trading strategies from A-Z with relevant and with up to date python code/framework/practices that all the best quant traders are using right now (Forget old useless code examples you can find from other old books).just check the forums online all this stuff is hot right now. It's absolutely underpriced for the value and for the information you can't find online/other books.If you're weak on programming side I will recommend doing a course or some training/theory on what's and how programming works before you start with this one, this is not for beginners and it's on the professional side to get yourself to the next level.I'm constantly going back to this book and other books by Andreas just to refresh my memory and making sure I'm designing my trading strategies properly.

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.

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.

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.

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.

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.

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.