most citedALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 4 cited

ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction

Shengkun Wang, YangXiao Bai, Kaiqun Fu +3

For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being. To this end, we harness the power of social medi…