Forecasting Stock Prices using Exponential Smoothing

Yibin Ng
Towards Data Science
9 min readSep 25, 2019

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Photo by Marc Schulte on Unsplash

Exponential smoothing is a family of forecasting methods which computes a weighted average of past observations as the forecast. The weights are decaying exponentially as the observations get older. As a result, the more recent the observation, the higher its weight in the forecast. The family of exponential smoothing methods models three aspects of time series: the trend level, trend slope, and a…

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