Relative Absolute Error (RAE)
Category: volatility
Calculates the Relative Absolute Error (RAE) by comparing the sum of absolute errors of a prediction model against the sum of absolute errors relative to the mean of the actual data.
Formula
RAE = (\sum |source1_i - source2_i|) / (\sum |source1_i - mean(source1)|)
Inputs
- i_source1 (default: close)
- i_period (default: 100)
See signal primitives and every published strategy that uses Relative Absolute Error (RAE) on WOBR StrategyVerse.