The Fintech index has been more active in the stock market with the Fintech industry
expanding. The prediction of the Fintech index is significant as it is capable of instructing …

This paper analyzed the development of data mining and the development of the fifth
generation (5G) for the Internet of Things (IoT) and uses a deep learning method for stock …

The stock market is affected by economic market, policy, and other factors, and its internal
change law is extremely complex. With the rapid development of the stock market and the …

In order to improve the accuracy of e-commerce decision-making, this paper proposes an
investment decision-making support model in e-commerce based on deep learning …

With the exchange-traded fund (EFT) expanding rapidly, more and more people begin to
invest in it, due to its lower risk and ideal returns. Forecasting the price of ETFs can greatly …

Stock markets have a significant impact on the economic growth of countries. Predicting
stock market indices has been a complex task in recent years. Indeed, many researchers …

The fluctuation of stock market price is the basis of stock market operation. The big
fluctuation of stock market price will cause huge losses to investors. Stock price fluctuation is …

After decades of advance development, China's stock market has gradually arisen into one
of the world's most important capital markets. The stock price index can well reflect the …

Predicting the trend of stock price is a challenging task and good evaluation models can
bring huge profits. The classical linear prediction models are not suitable for the stock price …

In the digital age, more and more households begin to invest in the stock market. Deep
learning has developed rapidly in recent years. Deep learning-based methods have also …