Technological progress raises the stock and shares market analysis. Specific mathematical and machine learning methods improve decision-making. Major research work focused on the stock price forecast feature based on historical rates and volume. In this work, TCS stock index analyzes the performance measurements using statistical methods in Python environment. In this analysis, the results obtained are superior to the existing methods. The methods for analyzing the financial market are based on a multiple linear regression using backward elimination method. This paper focuses on the best independent variables to forecast the stock market's closing price. This research is used to find specific variables that show the greatest effect on closing price prediction. Keywords Stock market • Linear regression • Multiple linear regression •

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