Predictive Analysis of Indian Stock Market Indices Using Technical Indicators and Machine Learning

This study explores how machine learning can be applied to predict trends in the Indian stock market, with a focus on the NIFTY 50 index. We use a combination of well-known technical indicators-RSI, MACD, ADX, ATR, and Bollinger Bands-along with the XGBoost classification algorithm to forecast next-day price movements. The aim is to uncover patterns based on calendar days and better understand retail trading behavior. The results show encouraging predictive accuracy, suggesting potential applications in the development of algorithmic trading strategies tailored for the Indian equities market.