Price prediction by Nearest Neighbor found by a weighted correlation coefficient:
The main disadvantage of the classical Nearest Neighbor algorithm (see an examplary implementation in https://www.mql5.com/en/code/133) is that all prices within a pattern are treated equally. In other words, it assumes that older prices have the same effect on future as
To overcome this drawback, this version of the nearest neighbor indicator gives larger weights to most recent prices while searching for the closest pattern in the past. It uses a weighted correlation coefficient, whose weight decays linearly from newer to older prices within a price pattern.
The indicator plots two curves: the blue curve indicates the past prices of the nearest neighbor and the red curve indicates the future prices of the same pattern. The nearest neighbor is scaled according to the linear regression slope between this pattern and the current pattern.
The indicator also prints the information about the starting date of the nearest neighbor and its correlation coefficient to the present pattern.