Numerous studies have adopted deep learning (DL) in financial market forecasting models
owing to its superior performance. The DL models require as many relevant input variables …

Stock market index forecasting is a very tempting topic. Appropriate analysis of such a topic
will provide valuable insights for investors, traders and policymakers in the appealing stock …

We introduce a comprehensive analysis of several approaches used in stock price
forecasting, including statistical, machine learning, and deep learning models. The …

The sudden outbreak of COVID-19 has dramatically altered the state of the global economy,
and the stock market has become more volatile and even fallen sharply as a result of its …

As one of the most popular financial market instruments, the stock has formed one of the
most massive and complex financial markets in the world. It could handle millions of …

Due to the interaction of many factors in the stock market, stock price prediction has always
been a challenging problem in the field of machine learning. In particular, the mutation …

Building an investment portfolio is a problem that numerous researchers have addressed for
many years. The key goal has always been to balance risk and reward by optimally …

The stock market is not only an important financing channel for listed companies, but also an
important investment market. Stock prediction has always attracted people's attention. In …

Vessel trajectory prediction plays a vital role in maintaining a safe and effective status in
maritime transportation. The development of deep learning provides appropriate …

For many real world applications, such as stock price prediction and video frame synthesis,
sequential data prediction is a fundamental and challenging task. Considering the temporal …