Usage of trading algorithms in adaptive intellectual ecosystem

Автор: Novikov A.V., Burmistrov A.V.

Журнал: Экономика и бизнес: теория и практика @economyandbusiness

Статья в выпуске: 4 (38), 2018 года.

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Since the end of the last century, the market sector associated with automated trading systems (stock trading robots) has been rapidly developed. However, even now the problem of developing algorithms and implementing them in the form of such systems remains quite relevant and is not so much of theoretical as of practical and commercializable interest. In addition, with the development of up-to-date information technologies, this industry becomes available to a wide range of individual non-professional investors who do not want to and will not use systematical approach to the task of making a forecast for random processes, which, in fact, market quotations are. For such investors - users of mobile applications - we offer a convenient adaptive intellectual ecosystem built on the basis of artificial intelligence. The ecosystem, taking into account the individual wishes of customers, will offer and implement on the exchange the optimal with respect to profitability and risk strategy.

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Stock trading robots, trading strategies, volatility, liquidity, high-frequency trading, positional trading

Короткий адрес: https://sciup.org/170190212

IDR: 170190212

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