SDSU researchers build AI to predict stock market trends and volatility
Researchers from South Dakota State University just unveiled ALERTA-Net, a deep neural network designed to forecast stock price movements and market volatility. By combining macroeconomic data, search queries, and social posts across 41 blue-chip stocks, the model outperformed standard baselines like DP-LSTM. Why it matters: Multi-source inputs could finally help financial models capture sudden market sentiment shifts instead of relying solely on past charts.