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2006issue C091-11

Assembling an adaptive price zone from double-smoothed averages

The adaptive price zone is a price channel centered on a double-smoothed exponential average of price, with a half-width set by band-percent times a double-smoothed exponential average of range. A 14-period average directional index then decides whether a band touch is a buy or sell-short condition or a cue to close open exposure.

  • The adaptive price zone is a price channel whose center is a double-smoothed exponential average of price and whose half-width is band-percent times a double-smoothed exponential average of range.
  • Double smoothing is chosen so the channel can follow short-horizon price and range with less lag than a simple moving average of the same lookback.
  • A 14-period average directional index at or below 30 allows buy and sell-short conditions on band touches; a reading above 30 closes open exposure instead of taking new entries.
  • Lookback-period and band-percent stay fixed once chosen and must be tuned by market and chart interval; only the band width moves with double-smoothed range.
Entries in this reading3 entries

A price channel with a volatility-scaled width

The adaptive price zone is a price channel: a pair of bands around a smoothed center line that frames a zone of typical price travel. The center is a double-smoothed exponential average of price. The half-width is a chosen multiple of a double-smoothed exponential average of range. A close or excursion beyond a band is treated as a chart condition, not a guaranteed reversal.

Band width expands and contracts with recent volatility because that half-width is a multiple of double-smoothed range. The scalar applied to the double-smoothed range is band-percent, a user setting rather than an automatically learned parameter. The lookback-period is the sampling length supplied to the inner exponential smoothers for price and range.

Why the averages are smoothed twice

Exponential smoothing is a recursive average that weights recent observations more heavily than older ones. Applying it twice further damps noise while still tracking short-horizon price and range. Double-smoothed exponential averaging is chosen so the channel can track short-horizon price and range with less lag than an equally weighted simple moving average of the same lookback.

The designer developed the construction for short lookbacks around five bars because conventional band indicators can become jagged at those lengths.

A trend-strength gate on band touches

A supplied implementation computes upper and lower bands as the double-smoothed price plus or minus band-percent times the double-smoothed range. It then reads a 14-period average directional index against a threshold of 30 before assigning buy or sell-short actions on band touches.

The average directional index is a bounded trend-strength reading computed from directional movement. It is used here as a gate that allows band-touch signals only when the reading stays at or below a chosen threshold.

When the average directional index is at or below the threshold, a low at or below the lower band is treated as a buy condition and a high at or above the upper band as a sell-short condition. When the reading exceeds the threshold, open long or short exposure is closed rather than new band-touch entries being taken.

Fixed settings, variable width

The designer states that lookback and band-percent settings are not adaptive and must be tuned to each market or chart interval, while only the band width itself varies with double-smoothed absolute range. The lookback-period is not adapted bar by bar.

Chart illustrations use custom settings rather than code defaults, including period 30 and band percent 1.8 on one daily index-futures window, period 50 and band percent 2.2 on a daily equity-proxy window, and period 30 and band percent 2.1 on a 610-tick intraday window.

A narrowed daily illustration used period 20, band percent 1.2, and an average-directional-index threshold of 30. The designer describes that application as a basic use of the indicator rather than a fully developed system.

The designer states that the same construction does not perform well in trending markets.

Adaptive price zone strategy P&L on the e-mini S&P

On this MultiCharts run the adaptive price zone rules show only a thin $27,500 net profit, and every dollar of that residual comes from shorts; longs lose $32,500. Gross profit and gross loss are both in the mid-six figures, so the apparent edge is a small leftover after heavy giveback. After the platform’s own adjustment the whole test is a large loss. The figures are read from the Strategy Performance Summary in the MultiCharts workspace, not from a redrawing of the hourly candles.
On this MultiCharts run the adaptive price zone rules show only a thin $27,500 net profit, and every dollar of that residual comes from shorts; longs lose $32,500. Gross profit and gross loss are both in the mid-six figures, so the apparent edge is a small leftover after heavy giveback. After the platform’s own adjustment the whole test is a large loss. The figures are read from the Strategy Performance Summary in the MultiCharts workspace, not from a redrawing of the hourly candles.ES #F · 1 Hour

MultiCharts accepted the article’s EasyLanguage. The hourly ES #F pane is only a visible slice of July price action; the table is the platform’s full-sample summary. Adjusted P&L is MultiCharts’ haircut, not a statistic defined in the article. The author treats the rules as a basic illustration, not a finished system.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
28 of 56 in the Average Directional Index track
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  5. 1988Constructing directional movement from bar range
  6. 1988Average directional index construction: recursive smoothing and lookback offset
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  9. 1991Constructing the average directional index from range expansion and true range
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  11. 1993Constructing the average directional index from directional movement and true range
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  28. 2006Assembling an adaptive price zone from double-smoothed averages
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  37. 2010Building a Vortex Indicator from high-low distances
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  42. 2012Clustered average-directional-index traces as a trend-start filter
  43. 2012Average Directional Index cluster filters for trend-start signals
  44. 2012Confirming a trend start or turn with a triple ADX cluster
  45. 2013Constructing a late-entry stack from a signed DMI oscillator
  46. 2013A directional oscillator and its stochastic as a stacked timing filter
  47. 2013ADX cluster lookbacks are a locked specification, not a chart label
  48. 2013Combining moving averages, stochastics, and ADX in a daily scan
  49. 2015Assembling the Average Directional Index from directional movement
  50. 2016How an Average Directional Index filter and a breakout entry form one procedure
  51. 2016Score RSI and stochastic crossings only when ADX confirms the trend
  52. 2018Constructing an ADX filter for intraday breakouts
  53. 2018An ADX volatility gate for prior-day breakouts
  54. 2019Exponential deviation bands with a moving average, RSI and ADX
  55. 2020A normalized-slope trend filter from linear regression
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