Interpolation is the prediction of values outside of the dataset used to produce the predictive model.
The classic example of interpolation is technical analysis, where speculators take past price action to predict future developments and determine future entry and exit points. |
But with any interpolation, past experience does not necessarily indicate future results, and the further models stretch data to determine results the less reliable the prediction becomes.