Analytical Modeling and Empirical Analysis of Binary Options Strategies

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    Abstract

    This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.

    Original languageEnglish
    Article number208
    JournalFuture Internet
    Volume14
    Issue number7
    DOIs
    Publication statusPublished - Jul 2022

    Keywords

    • big data
    • binary options
    • knowledge discovery
    • Monte Carlo simulation
    • visual analytics

    ASJC Scopus subject areas

    • Computer Networks and Communications

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