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Medium · time_series · Quant Researcher interview question · time-series, exponential-smoothing, holt-winters, forecasting, trend
Holt's double exponential smoothing extends simple smoothing to handle linear trends, making it a practical baseline for short-horizon forecasting of macro indicators, factor signals, and price targets in systematic trading. The level-trend decomposition allows the forecast to extrapolate linearly beyond the observed sample, controlled by two smoothing parameters. The model is defined by a level component L and a trend component B, which are updated iteratively as new data becomes available. Ta