Analysis of Market Behavior Using Popular Digital Design Technical Indicators and Neural Network

Title

Analysis of Market Behavior Using Popular Digital Design Technical Indicators and Neural Network

Creator

George J.; Nair A.M.; Yathish S.

Description

Forecasting the future price movements and the market trend with combinations of technical indicators and machine learning techniques has been a broad area of study and it is important to identify those models which produce results with accuracy. Technical analysis of stock movements considers the price and volume of stocks for prediction. Technical indicators such as Relative Strength Index (RSI), Stochastic Oscillator, Bollinger bands, and Moving Averages are used to find out the buy and sell signals along with the chart patterns which determine the price movements and trend of the market. In this article, the various technical indicator signals are considered as inputs and they are trained and tested through machine learning techniques to develop a model that predicts the movements accurately. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-209, pp. 445-458.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Deep learning; Market behavior; Neural network; Technical indicators

Coverage

George J., Department of Computer Science, CHRIST (Deemed to be University), Lavasa Pune, India; Nair A.M., Department of Computer Science, CHRIST (Deemed to be University), Lavasa Pune, India; Yathish S., Department of Computer Science, CHRIST (Deemed to be University), Lavasa Pune, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981162125-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-16-2126-0_37

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113372503&doi=10.1007%2f978-981-16-2126-0_37&partnerID=40&md5=63c592c117b8765b16eef7832a08cda9