HQNN-FSP: A hybrid classical-quantum neural network for regression-based financial stock market prediction

Keyphrases

• Financial Markets 100%
• Regression-based Method 100%
• Stock Price Prediction 100%
• Quantum Resources 100%
• Hybrid Quantum Neural Network 100%
• Error Analysis 50%
• Entanglement 50%
• Hybrid Model 50%
• Challenging Tasks 50%
• Custom Design 50%
• Feature Representation 50%
• Data Reuse 50%
• Two-hybrid 50%
• Quantum Computing 50%
• Series Analysis 50%
• Sequential Approach 50%
• Trend Prediction 50%
• Regressor 50%
• Feature Learning 50%
• Financial Time Series 50%
• Systematic Evaluation 50%
• Time Series Regression 50%
• Shared Losses 50%
• K-fold Cross-validation 50%
• Classical Parameters 50%
• Predictive Error 50%
• Hybrid Optimization 50%
• Financial Trends 50%
• Spatiotemporal Feature Extraction 50%
• Financial Modeling 50%
• Assisted Learning 50%
• Quantum Parameters 50%
• Temporal Dependency 50%
• Hybrid Quantum-classical 50%
• Financial Time Series Forecasting 50%
• Market Fluctuations 50%
• Operation Feature 50%
• Quantum Regression 50%
• Financial Forecasting 50%
• Feature-aware 50%
• Quantum Neural Network 50%
• Trainability 50%
• Variational Quantum Circuits 50%

Computer Science

• Neural Network 100%
• Fold Cross Validation 50%
• Temporal Feature 50%
• Quantum Computing 50%
• Quantum Circuit 50%
• Optimization Strategy 50%
• Feature Extraction 50%