// multi-utility computation suite · offline · instant · precise
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fin.exponential-smoothing-forecast Calculator
Calculates simple and Holt's double exponential smoothing forecasts from a time series with a smoothing parameter. Alpha close to 1 makes the forecast highly responsive to recent data; close to 0 makes it a near-moving average — the optimal alpha minimises forecast error.
Inputs
Alpha Smooth
A multiplier applied in the calculation.
Last Actual
Reference formula or conversion factor shown for context.
Last Forecast
Reference formula or conversion factor shown for context.
Trend B
Reference formula or conversion factor shown for context.
Beta Trend
Reference formula or conversion factor shown for context.
Results
simple exponential smoothing F(t+1)
Sample size or count used in the calculation.
Holt double exponential F(t+1)
Sample size or count used in the calculation.
forecast error (actual − forecast)
The difference between the computed result and the exact or true value — a measure of approximation accuracy.
updated trend b(t+1)
The direction and rate of change in the data series.
F(t+1) = α·y_t + (1−α)·F_t
Reference formula or conversion factor shown for context.