The recent COVID-19 pandemic represents an unprecedented worldwide event to study the
influence of related news on the financial markets, especially during the early stage of the …

Accurate prediction of stock market trends and movements holds great significance in the
financial industry as it enables investors, traders, and decision-makers to make informed …

Stock value prediction and trading, a captivating and complex research domain, continues to
draw heightened attention. Ensuring profitable returns in stock market investments demands …

The rapid evolution of cryptocurrency markets and the increasing complexity of trading
strategies necessitate a comprehensive understanding of price-prediction models and their …

With the increasing popularity of stock trading, individuals, and financial entities such as
investment companies, hedge funds, and retail investors are actively participating in the …

Stock portfolio is a hard issue in the Fintech field due to the diversity of data characteristics
and the dynamic complexity of the market. Despite advances in deep learning that have …

News-driven quantitative trading (NQT) has been popularly studied in recent years. Most
existing NQT methods are performed in a two-step paradigm, ie, first analyzing markets by a …

Stock market prediction is a subject of great interest within the finance industry and beyond.
In this context, our research investigates the use of reinforcement learning through …

Synchrotron light source storage rings aim to maintain a continuous beam current without
observable beam motion during injection. One element that paves the way to this target is …

This paper aims to forecast the volatility of Chinese stock market under the effects of
international crude oil shocks. Eight individual models, including multiple linear regression …