Method of training neural networks for use in exchange robots based on intuitive analysis

The article deals with the development of teaching methodology for exchange robots based on neural networks using intuitive analysis for more effective evaluation of the securities. The article compares methods, which used by the human brain during assessment and finding solutions for tasks, with th...

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Main Author:	S. S. Khromov
Format:	Article
Language:	Russian
Published:	Russian Academy of Entrepreneurship 2020-01-01
Series:	Путеводитель предпринимателя
Subjects:	market securities securities neural networks perceptron intuition
Online Access:	https://www.pp-mag.ru/jour/article/view/1091

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spelling	doaj-5e7cdf220c244500a88fc41938b02cdd2021-07-28T12:59:27ZrusRussian Academy of EntrepreneurshipПутеводитель предпринимателя2073-98852687-136X2020-01-010244234281090Method of training neural networks for use in exchange robots based on intuitive analysisS. S. Khromov0Plekhanov Russian University of EconomicsThe article deals with the development of teaching methodology for exchange robots based on neural networks using intuitive analysis for more effective evaluation of the securities. The article compares methods, which used by the human brain during assessment and finding solutions for tasks, with the algorithms, which used in modern exchange stock robots, in order to develop new and innovative algorithms to improve the efficiency of trading robots that take advantage of the intuitive analysis. The article gives the necessity to use non-standard methods of analysis such as intuition, and provides suggestions for its implementation in the algorithms used in trade robots.https://www.pp-mag.ru/jour/article/view/1091market securitiessecuritiesneural networksperceptronintuition
collection	DOAJ
language	Russian
format	Article
sources	DOAJ
author	S. S. Khromov
spellingShingle	S. S. Khromov Method of training neural networks for use in exchange robots based on intuitive analysis Путеводитель предпринимателя market securities securities neural networks perceptron intuition
author_facet	S. S. Khromov
author_sort	S. S. Khromov
title	Method of training neural networks for use in exchange robots based on intuitive analysis
title_short	Method of training neural networks for use in exchange robots based on intuitive analysis
title_full	Method of training neural networks for use in exchange robots based on intuitive analysis
title_fullStr	Method of training neural networks for use in exchange robots based on intuitive analysis
title_full_unstemmed	Method of training neural networks for use in exchange robots based on intuitive analysis
title_sort	method of training neural networks for use in exchange robots based on intuitive analysis
publisher	Russian Academy of Entrepreneurship
series	Путеводитель предпринимателя
issn	2073-9885 2687-136X
publishDate	2020-01-01
description	The article deals with the development of teaching methodology for exchange robots based on neural networks using intuitive analysis for more effective evaluation of the securities. The article compares methods, which used by the human brain during assessment and finding solutions for tasks, with the algorithms, which used in modern exchange stock robots, in order to develop new and innovative algorithms to improve the efficiency of trading robots that take advantage of the intuitive analysis. The article gives the necessity to use non-standard methods of analysis such as intuition, and provides suggestions for its implementation in the algorithms used in trade robots.
topic	market securities securities neural networks perceptron intuition
url	https://www.pp-mag.ru/jour/article/view/1091
work_keys_str_mv	AT sskhromov methodoftrainingneuralnetworksforuseinexchangerobotsbasedonintuitiveanalysis
_version_	1721277890939584512

Method of training neural networks for use in exchange robots based on intuitive analysis

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