Explainable Deep Learning for Price–Trade Dynamics: From Black-Box Forecasts to Effective Parametric Models

By Manuel Naviglio, Fabrizio Lillo

Published 2026-09-09

Everscope rating

1621.7

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

4 / 5

About this paper

Methodology: SHAP-based Explainability for Structural Discovery and Parametric Model Construction. Problem types: Time Series Forecasting, Regression, Structural Discovery, Model Interpretation.

arXiv:2609.06085 · Paper rankings

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