"Synchronize your watches. The future’s coming back..."
This is the third post in the series about future prediction on the markets. In the first two posts several relevant indicators were described (you may find details in the Part I and Part II). This time the story is about yet another indicator which may be useful for the topic. And it should not be a surprise that the underlying methods are still statistical.
First let us consider the WPR (Williams Percent Range) indicator. I'm sure everyone is familiar with it, but in case you don't - here is its description and source code.

The answer is to use statistics from available history, which bind values of conventional WPR and future WPR. For every point in the history, where bar number is larger than WPR period, one can calculate both indicators and register combination of their values in an array of counters. This array accumulates data about all combinations in the history. Then we can repeat the process for different periods of WPR, and finally get an overall probability of possible levels of future WPRs for given latest levels of conventional WPRs.

This way anyone can foresee most probable evolution of price in the future, as percent ranges statistics suggest.


