Stock Market Prediction Using Fuzzy Logic and Technical Indicators: A Case Study of Indian Banks

This study presents a decision support system for stock market investors that combines technical analysis with fuzzy logic. The system utilizes four essential technical indicators—Moving Average Convergence/Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator (SO), and On-Balance Volume (OBV)—to predict future price movements. These indicators are mapped as inputs into a fuzzy inference system, where fuzzy rules and membership functions are applied to generate trading recommendations, categorized as Bullish, Neutral, or Bearish. Experiments using MATLAB with data from 10 Indian banks demonstrate that the system effectively predicts stock movements and improves investment decisions when integrated with additional market information and investor insights

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-03
DOI
https://doi.org/10.22214/ijraset.2024.64130
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

Stock Market Prediction Using Fuzzy Logic and Technical Indicators: A Case Study of Indian Banks

Swathi Yandamuri
International Journal for Research in Applied Science and Engineering Technology
Stock Market Forecasting Methods
article

Stock Market Prediction Using Fuzzy Logic and Technical Indicators: A Case Study of Indian Banks

Swathi Yandamuri
article en

Abstract

This study presents a decision support system for stock market investors that combines technical analysis with fuzzy logic. The system utilizes four essential technical indicators—Moving Average Convergence/Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator (SO), and On-Balance Volume (OBV)—to predict future price movements. These indicators are mapped as inputs into a fuzzy inference system, where fuzzy rules and membership functions are applied to generate trading recommendations, categorized as Bullish, Neutral, or Bearish. Experiments using MATLAB with data from 10 Indian banks demonstrate that the system effectively predicts stock movements and improves investment decisions when integrated with additional market information and investor insights

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Stock Market Forecasting Methods
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