Time based moving average
A time-based moving average is a technique used to calculate the average of data points over a specific period. Unlike traditional moving averages that use a fixed number of samples, a time-based moving average adjusts based on the actual time that has passed. This method is useful in scenarios where data sampling intervals are irregular or where the importance lies in the time duration rather than the count of samples. This is mostly the case in non-time based timeframe such as Renko.