⚠ warning : Not For Real Trading ,Loosses Might be occur, this is for data correction to fit normalized kernel as a weighting function , Nadaraya-Watson Estimator and Nadaraya-Watson Envelope This can be described as a series of weighted averages using a specific normalized kernel as a weighting function. For each point of the estimator at time t, the peak of the kernel is located at time t, as such the highest weights are attributed to values neighboring the price located at time