Ehlers Adaptive Stochastic Using a Dynamically Estimated Cycle

Summary

This indicator modifies the classical Stochastic oscillator by adapting its lookback window to an estimated market cycle. It smooths price data, derives in-phase and quadrature components, and uses a homodyne discriminator to estimate the cycle period. The estimate is smoothed and constrained before setting the range used in the oscillator calculation.

The oscillator measures the close relative to the highest high and lowest low over the adaptive window, with reference levels at 20, 50, and 80. The description claims it may give better indications than a standard Stochastic, but supplies no comparison, market-specific settings, or test results. The method is presented as indicator code, not a complete strategy, and its signals should not be treated as validated performance evidence.

Key ideas

• The indicator adjusts the Stochastic lookback to a dynamically estimated market cycle.
• Smoothed price components feed a homodyne discriminator to estimate cycle length.
• The estimated period is bounded and smoothed before use.
• The oscillator locates the close within the adaptive high-low range.
• The claimed improvement over standard Stochastic is unsupported by evidence in the document.

Tags

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