JSATL: Combining SATL Filtering with JMA Adaptive Smoothing

Summary

JSATL combines two smoothing methods in sequence: it first applies the Slow Adaptive Trend Line (SATL) digital filter to a price series, then applies JMA adaptive smoothing to the filtered output. The additional smoothing is intended to reduce reactions to random price movements while retaining an adaptive trend measure. The document also points to a software library class used to implement the JMA calculation.

The explanation defines the indicator’s construction but provides no trading rules, parameter settings, chart evidence, performance results, or comparisons with other filters. It therefore describes an indicator concept rather than demonstrating a complete strategy or showing that the smoothing improves trading outcomes. Any use would require independent testing for lag, responsiveness, and suitability across instruments and timeframes.

Key ideas

• JSATL applies the SATL digital filter to price before smoothing the result with JMA.
• The second smoothing stage is intended to reduce responses to random market fluctuations.
• The document describes indicator construction but gives no entry rules or performance evidence.
• Users would need to assess lag and responsiveness across their chosen markets and timeframes.

Tags

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