• [Python] quelqu'un la lu ? l'utilise ?

    From ptilou@21:1/5 to All on Thu Sep 22 19:10:01 2022
    bonjour,

    je reviser mon cours et je tombe sur ce livre :
    et donc cela est adapte a quel squelette ?
    c'est utilise sur quel platforme ?

    merci

    About the Author

    James Ma Weiming works with high-frequency, low-latency trading systems,

    writing his own programs and tools, most of which are open sourced. He is currently

    supporting veteran traders in the, trading pits of the Chicago Board of Trade devising

    strategies to game the market. He graduated from the Stuart School of Business at

    Illinois Institute of Technology with a master of science degree in nance.

    He started his career in Singapore after receiving his bachelor's degree in computer

    engineering from Nanyang Technological University and diploma in information

    technology from Nanyang Polytechnic. During his career, he has worked in

    treasury operations handling foreign exchange and xed income products. He also

    developed mobile applications with a company operating a funds and investments

    distribution platform.
    Auteur(s): Weiming, James Ma
    Editeur: Packt Publishing
    Année de Publication: 2015
    pages: 340
    ISBN: 978-1-78439-451-6
    eISBN: 978-1-78439-787-6
    Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development.
    With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex
    problems commonly faced in finance.
    You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data.

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    ptilou

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