Recent strategies for portfolio management often lack flexibility to adjust funds between long
and short positions throughout trading periods. This prevents adapting portfolios to the …

As an essential US economic indicator, the S&P500 Index is used to assess the current state
of market performance and gauge the economy's future course. However, stock market …

In the field of portfolio management using reinforcement learning, existing approaches have
mainly focused on cash-only trading, overlooking the potential benefits and risks of margin …

Stock market forecasting is a popular area for both investment and research. It is also
challenging due to the strong noise generated by the news, government policies, and …

Current GNN-based asset price prediction models often focus on a fixed group of assets and
their static relationships within the financial network. However, this approach overlooks the …

Efforts to predict stock market outcomes have yielded limited success due to the inherently
stochastic nature of the market, influenced by numerous unpredictable factors. Many existing …

The stock market serves as a complex financial ecosystem, where diverse methodologies
are employed to forecast price movements. This paper centers on the technical analysis of …