Bio-Inspired Hyperparameter Optimization of LSTM Networks for Long-Horizon Stock Price Forecasting
Accurate stock price forecasting remains a challenging problem because financial markets are highly dynamic, nonlinear, and influenced by changing economic conditions. Deep learning models, particularly Long Short-Term Memory (LSTM) networks, have shown strong capability in capturing temporal dependencies in financial...