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Machine Trading: Deploying Computer Algorithms to Conquer the Markets (Wiley Trading)

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Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discov Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.


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Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discov Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.

30 review for Machine Trading: Deploying Computer Algorithms to Conquer the Markets (Wiley Trading)

  1. 5 out of 5

    Auro H A R Pontes

    Good information if you’re motivated enough to do your research this is a good book if you do your homework. People here giving bad reviews think the author will give his full blown strategies for free - nobody does that. As with any book in this subject, it adds up to your knowledge but you still need to do the hard work. It does lack some depth though and I wish he could give some more information on cryptocurrencies - this chapter is pretty vague. Overall a good book.

  2. 5 out of 5

    Hossein Jar.

    A great introduction to basic strategies of algorithmic trading, Chan has discussed about all you need to know. you should have some programming and mathematical bacground to use this book. the codes are done by Matlab

  3. 4 out of 5

    Franta

    Machine Trading book is an excellent introduction to algorithmic trading. This book is slightly more advanced than Chan's previous two books but it is clearly written and very readable. To get most of this book the reader would benefit from the knowledge of linear algebra, computer programming (scripting), and how the stock market works. As usual the book is accompanied by MATLAB scripts. But beware, the scripts are learning examples, not code you should deploy into production without substantial Machine Trading book is an excellent introduction to algorithmic trading. This book is slightly more advanced than Chan's previous two books but it is clearly written and very readable. To get most of this book the reader would benefit from the knowledge of linear algebra, computer programming (scripting), and how the stock market works. As usual the book is accompanied by MATLAB scripts. But beware, the scripts are learning examples, not code you should deploy into production without substantial backtesting.

  4. 5 out of 5

    Jovany Agathe

    Machine Trading had a ton of useful information for me. The first chapter looked at data sources for back-testing trading strategies. There was information about which are the best sites to get data from, which have good APIs, and the costs of these services. It was easy to see that the author had worked with lots of different types of data and vendors. The next few chapters look at analysis using MATLAB as the programming language. The code snippets are well described and fairly easy to understa Machine Trading had a ton of useful information for me. The first chapter looked at data sources for back-testing trading strategies. There was information about which are the best sites to get data from, which have good APIs, and the costs of these services. It was easy to see that the author had worked with lots of different types of data and vendors. The next few chapters look at analysis using MATLAB as the programming language. The code snippets are well described and fairly easy to understand or translate to another language.

  5. 4 out of 5

    Sergio

  6. 4 out of 5

    Hung-Wah Cheung

  7. 5 out of 5

    MTD

  8. 5 out of 5

    Yang Wang

  9. 5 out of 5

    Amit

  10. 5 out of 5

    SHAWN LADBROOK

  11. 5 out of 5

    Andrew Hoang

  12. 4 out of 5

    Dzmitry Kuzniatsou

  13. 4 out of 5

    Rutger

  14. 4 out of 5

    James Golovich

  15. 5 out of 5

    Wongsakorn Chaiwanon

  16. 5 out of 5

    Eduardo

  17. 4 out of 5

    Bill

  18. 5 out of 5

    Charles

  19. 4 out of 5

    Aldo

  20. 5 out of 5

    Ahmed Joudi

  21. 5 out of 5

    B

  22. 4 out of 5

    Zhe

  23. 5 out of 5

    Daniel Petoukhov

  24. 4 out of 5

    Tan Moses

  25. 5 out of 5

    Mikhail V Parakhin

  26. 5 out of 5

    Magnien

  27. 4 out of 5

    Ramon A Zamora

  28. 4 out of 5

    Jaromír

  29. 5 out of 5

    SzeKing Chong

  30. 4 out of 5

    Seabass

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