A Study on Technical Indicators for Prediction of Select Indices Listed on NSE
Main Article Content
Abstract
“A Study on technical indicator for prediction of selected indices listed on NSE”. This study attempts to apply technical analysis on all the sectors listed in NSE from April 2016 to March 2021. The study is based purely on secondary data. The most preferred technical tools such as Simple Moving Average, Exponential moving average, Moving Average Convergence and Divergence, Rate of Change, Williams % R, Bollinger Bands, Relative Strength Index, Stochastic Oscillator, Directional Movement Index and Commodity Channel Index were used to take a decision on investment and Market Efficiency as well as to know the Sensitivity, Reliability, Correlation of each Technical indicators used in the study. This research on Technical analysis is more useful for the people who wants to buy or invest in sectors which is more efficient in the future market, and to whether investment decision can rely only on technical analysis.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.