Venkateshwarlu Mallikanti

A Hybrid QNN-LSTM Framework for Adaptive Stock Trend Prediction Under Volatile Market Conditions

The highly nonlinear, dynamic and volatile nature of financial temporal data makes financial stock markets difficult to predict. Traditional intelligent computational models, especially ML and DL, often cannot model the sudden market changes and long-term patterns accurately in the unstable market conditions. To addres...