Indian Stock Market

Research on the Indian stock market focuses on developing accurate predictive models for stock prices and portfolio optimization, aiming to improve investment strategies and risk management. Current research heavily utilizes machine learning techniques, including recurrent neural networks (RNNs), LSTMs, and transformer-based models, often incorporating sentiment analysis from social media and exploring network structures within the market to enhance prediction accuracy. These advancements offer valuable insights into market dynamics and sector-specific profitability, informing both academic understanding of financial markets and practical applications in portfolio management and trading.