Deep Learning Is a Trap for Time Series. Here’s the Truth.
We are exhausting ourselves chasing the hype cycle, forcing simple time series data through complex neural networks. But when data is limited, deep learning overfits and fails silently. ARIMA—the boring, 1970s math model—still outperforms in stable environments because it relies on first principles, not black-box magic. Complexity is a liability.