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Repurposing Deep Limit Order Book Forecasting for Scenario-Conditioned Market Impact Modeling
Deep Limit Order Book forecasting models capture nonlinear market dynamics, but their ability to quantify the effects of counterfactual order book messages has not been systematically validated. We introduce a model-agnostic framework that compares a trained forecaster's predictive distributions bef
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