DSS Bressert Oscillator for Overbought and Oversold Signals

Summary

The document describes a Double Smoothed Stochastic derived from work on market cycles and presents it as an oscillator for identifying overbought and oversold areas. Its calculation first normalizes the close within a recent high-low range, smooths that value, then locates it within the recent range of the smoothed series and smooths again. The example uses an eight-period EMA setting and a thirteen-period stochastic window, with reference levels at 20 and 80.

The author suggests that prolonged readings in an extreme zone may precede a trend change, and says the oscillator can be used to look for rebounds within an established trend or reversals in ranging markets. These are qualitative claims; the document supplies no performance results or comparison supporting its assertion of fewer false signals. It also presents the indicator as part of a scalping strategy that is not fully described here. The example code and stated use cases do not define risk controls, position sizing, or a complete entry and exit plan.

Key ideas

• The DSS calculation normalizes price within a recent range, then smooths a second stochastic calculation of that normalized series.
• The example uses an eight-period smoothing setting, a thirteen-period window, and reference levels at 20 and 80.
• The author proposes using extreme readings to identify possible trend changes, trend pullbacks, or reversals in ranging markets.
• The claimed reduction in false signals is not supported by comparative tests or performance evidence.
• The document does not provide a complete scalping strategy, risk controls, or position-sizing rules.

Tags

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