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DIVINE: Simple Cross-Market Stock Pretraining via Diverse Indicator Reconstruction
Financial time-series pretraining typically learns from masked observations, contrastive relations, or future outcomes---yet existing objectives struggle to simultaneously avoid future-supervision uncertainty and maintain return-prediction alignment. We propose DIVINE (DIVerse INdicator rEconstructi
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