Title: Technical analysis-based fuzzy support system for stock market trading

Authors: Aviral Sharma; Vishal Bhatnagar; Abhay Bansal

Addresses: Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India ' Ambedkar Institute of Advanced Communication Technologies and Research, Geeta Colony, Delhi-110031, India ' Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India

Abstract: Technical analysis forms an integral part of the life of a stock trader. In econometric analysis, technical analysis is method for predicting the course of prices of security under consideration through the study of past statistics relating to the equity, mostly price and volume. Traders tend to use this type of analysis to take a decision regarding a particular security. Fuzzy logic-based systems could be used in developing decision models where the experience of traders can be incorporated in the decision model. In this paper, we present a hybrid approach between fuzzy logic and technical analysis. The system generates a signal on direction of movement of the stock. Thus, helping the trader to better understand the underlying behaviour of the stock under consideration and take a decision accordingly.

Keywords: technical analysis; commodity channel index; CCI; relative strength index; RSI; William %R; ultimate oscillator; Aroon; fuzzy logic; artificial intelligence.

DOI: 10.1504/IJAIP.2020.109507

International Journal of Advanced Intelligence Paradigms, 2020 Vol.17 No.3/4, pp.193 - 207

Received: 23 Jun 2016
Accepted: 27 Oct 2016

Published online: 11 Sep 2020 *

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