The stock market is a complex system that is influenced by a variety of factors, including technical parameters. This study investigated the impact of different technical parameters on the share prices of selected Nifty IT Services Index companies listed on the National Stock Exchange (NSE). The study used a logistic regression model to analyze the data collected for NSE listed IT Services sector companies. The results showed that the percentage of correctly classified share price returns was 60%. This suggests that the logistic regression model is a good and accurate tool for predicting share price returns. The study also found that there was a significant difference in the Moving Average (MA) of share prices among the different IT Services companies selected for the study. This suggests that the MA is a useful technical parameter for predicting share price returns. The findings of this study have implications for investors and traders. By understanding the impact of technical parameters on share prices, investors and traders can make more informed decisions about their investments.

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Keywords: Nifty Index, Share Price Returns, IT Services, NSE.