Can 1D CNN predict stock price?

While I was reading about stock prediction on the web, I saw people talking about using 1D CNN to predict the stock price. This caught my attention since CNN is specifically designed to process pixel data and used in image recognition and processing and it looked like a interesting challenge.

What is CNN's stock market data coverage?

Up-to-date stock market data coverage from CNN. Get the latest updates on US markets, world markets, stock quotes, crypto, commodities and currencies. Every weekday afternoon, get a snapshot of global markets, along with key company, economic, and world news of the day. Main Street traders are taking big risks. They might not pay off

Can CNN-LSTM predict stock price?

Firstly, we adopt CNN to efficiently extract features from the data, which are the items of the previous 10 days. And then, we adopt LSTM to predict the stock price with the extracted feature data. According to the experimental results, the CNN-LSTM can provide a reliable stock price forecasting with the highest prediction accuracy.

What is a stock forecasting model based on CNN and LSTM?

According to the characteristics of CNN and LSTM, a stock forecasting model based on CNN-LSTM is established. The model structure diagram is shown in Figure 1, and the main structure is CNN and LSTM, including input layer, one-dimensional convolution layer, pooling layer, LSTM hidden layer, and full connection layer.