151 Trading Strategies

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    151 Trading Strategies
    By: Zura Kakushadze; Juan Andrés Serur
    Publisher:
    Palgrave Macmillan
    Print ISBN: 9783030027919, 3030027910
    eText ISBN: 9783030027926, 3030027929
    Copyright year: 2018
    Format: EPUB
    Available from $ 69.99 USD
    SKU 9783030027926
    The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
     

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