  The importance of predicting stock market prices cannot be overstated. It is
a pivotal task for investors and financial institutions as it enables them to
make informed investment decisions, manage risks, and ensure the stability of
the financial system. Accurate stock market predictions can help investors
maximize their returns and minimize their losses, while financial institutions
can use this information to develop effective risk management policies.
However, stock market prediction is a challenging task due to the complex
nature of the stock market and the multitude of factors that can affect stock
prices. As a result, advanced technologies such as deep learning are being
increasingly utilized to analyze vast amounts of data and provide valuable
insights into the behavior of the stock market. While deep learning has shown
promise in accurately predicting stock prices, there is still much research to
be done in this area.
