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HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting

Saidd, Nabeel Ahmad
arXiv (All) · Papers
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computational-finance
Financial time series evolve across multiple temporal resolutions, challenging forecasting systems to incorporate newly available information without repeatedly recomputing unchanged representations. We introduce HARN, a Hierarchical Associative Resonance Network for event-driven multi-timeframe for
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