Can LSTM predict stock prices?

As you can see above, the model can predict the trend of the actual stock prices very closely. The accuracy of the model can be enhanced by training with more data and increasing the LSTM layers. The stock market plays a remarkable role in our daily lives. It is a significant factor in a country's GDP growth.

How to predict Google stock prices?

Here, you will use a Long Short Term Memory Network (LSTM) for building your model to predict the stock prices of Google. LTSMs are a type of Recurrent Neural Network for learning long-term dependencies. It is commonly used for processing and predicting time-series data. From the image on the top, you can see LSTMs have a chain-like structure.

Why is it difficult to predict stock prices?

Predicting how the stock market will perform is a hard task to do. There are other factors involved in the prediction, such as physical and psychological factors, rational and irrational behavior, and so on. All these factors combine to make share prices dynamic and volatile. This makes it very difficult to predict stock prices with high accuracy.

Can machine learning predict stock price?

Stock price analysis has been a critical area of research and is one of the top applications of machine learning. This tutorial will teach you how to perform stock price prediction using machine learning and deep learning techniques. Here, you will use an LSTM network to train your model with Google stocks data. What is the Stock Market?