Paper Contents
Abstract
This research investigates the effectiveness of Bollinger Bands and Stochastic Oscillators as technical analysis tools in predicting stock price movements across various sectors, including Banking, Energy, IT, FMCG, and Telecommunications. The study aims to optimize trading strategies by identifying optimal buy and sell signals through a quantitative analysis of historical stock data. Utilizing regression analysis and correlation coefficients, the findings reveal that the combined application of these indicators significantly enhances predictive accuracy compared to using either tool independently. The results indicate that traders can improve decision-making by integrating these indicators into their strategies, thus minimizing market exposure and maximizing returns. This analysis contributes to the field of technical analysis and finance by providing a comprehensive framework for traders and investors to refine their trading approaches in volatile markets.
Copyright
Copyright © 2024 Chirag V Shetty. This is an open access article distributed under the Creative Commons Attribution License.
