Forecasting stock price and volatility is a crucial aspect of investment and risk management. Stock price forecasting aims to predict future stock price based on historical trends, market conditions, and other relevant factors. This helps investors make informed decisions about when to buy, hold or sell stocks.

Volatility forecasting, on the other hand, aims to estimate the degree of price fluctuations or risks associated with the stock. This can be helpful in assessing the risk and return of a stock or a portfolio.

There are various methods for forecasting stock price and volatility, including statistical models, machine learning algorithms, and neural networks. However, predicting the future accurately is a complex and challenging task that requires careful analysis and interpretation of data.