Hybrid Quantum-Classical Ensemble Learning for S&P 500 Directional Prediction

By Abraham Itzhak Weinberg

Published 2025-12-06

Everscope rating

1209.7

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: Hybrid Quantum-Classical Ensemble Learning with Architecture Diversity and Smart Filtering. Problem types: Classification, Time Series Forecasting, Algorithmic Execution.

arXiv:2512.15738 · Paper rankings

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