Description: Stock Price Prediction in Indian Markets: A Study Using Neural Networks Approach focuses on analyzing and forecasting stock prices using advanced machine learning techniques, particularly artificial neural networks. In India, stock markets such as the Bombay Stock Exchange and National Stock Exchange generate vast amounts of financial data, making them suitable for predictive modeling.
Neural networks, inspired by the human brain, can identify complex patterns and trends in historical stock data, including price movements, trading volume, and market indicators. Models like feedforward neural networks and recurrent neural networks (RNNs) are commonly used for time-series forecasting.
This approach improves prediction accuracy compared to traditional statistical methods, helping investors make informed decisions. However, factors like market volatility, economic conditions, and unexpected events still influence prediction reliability.