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multivariate-time-series-forecasting

topic1 events
papersSEP 12 04:00 UTC

CryptoL Framework Targets Scale Imbalance in Cryptocurrency Forecasting

A new arXiv paper introduces CryptoL, a unified framework for forecasting multivariate cryptocurrency time series. The work addresses cross-asset scale differences, non-stationary market dynamics, and dependencies among open, high, low, and close price variables. It proposes physics-informed constraints to mitigate these issues in financial prediction.

crypto/forecasting/time-series/arxiv