Smoothing Parabolic SAR Signals with an X2MA Moving Average

Summary

This short description introduces an indicator that uses the X2MA moving average as the price series for an iSAR, or parabolic SAR, calculation. The stated aim is to smooth the parabolic indicator through the moving average, with the intention of making its signals more dependable. It identifies the indicator's authors and notes that an initial MQL4 implementation was published in 2009.

The document gives no formula, parameter settings, trading rules, chart evidence, or performance evaluation. It therefore explains the indicator's basic construction but does not establish whether smoothing improves signal quality or how the indicator behaves across markets and timeframes. Traders would need the original implementation or independent testing to assess lag, false signals, and practical use; the description alone is not enough to reproduce or validate a strategy.

Key ideas

• The indicator applies parabolic SAR to an X2MA moving-average price series.\nIts stated purpose is to smooth the parabolic calculation.\nThe description suggests improved signal confidence but provides no supporting performance evidence.\nThe first implementation was published in MQL4 in 2009.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.