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1994issue C011-7

Constructing polarized fractal efficiency as a path filter

Polarized fractal efficiency compares a long-ruler net close with the summed short-ruler path over one span, then signs the ratio by direction. The construction records finished geometry; a TradersWeek editorial reading keeps its extremes as a filter until trailing-stop follow-through and a late opposite-color hook make a setup testable.

  • A folded price path receives a non-integer fractal dimension between a straight line at 1 and a plane at 2, used to judge how trendy or congested the path has been.
  • Polarized fractal efficiency is the long-ruler net move divided by the summed short-ruler hypotenuses, signed plus when the span is down and minus when the span is up.
  • Choose a bar span, then apply a five-period exponential average for sign smoothing; a ten-bar span is offered as a balance because delay is half the span.
  • The reading does not forecast. The historical pairing follows price with a trailing stop, parks a stop beyond a candlestick hook, and treats the mid-zone as zero-line congestion.
Entries in this reading3 entries

Path measurement comes first

A folded path is assigned a non-integer fractal dimension between 1 for a straight line and 2 for a plane, and that score is used to judge how trendy or congested a price path has been.

Measured coastline length depends on ruler size: a shorter ruler fits more inlets and reports a longer distance, and ruler length versus measured length has a constant slope on a log-log chart.

Editorial: those two facts are a reason to build a path measure before reading any oscillator as a trade cue.

Two hypotenuses over one span

Polarized fractal efficiency is the straight-line net move divided by the squiggly close-to-close path, then signed plus when the span is down and minus when the span is up.

Each close-to-close step is a short ruler: a hypotenuse equal to the square root of the squared sides. Those lengths sum to path A. Path B is the long ruler, the single first-to-last-close hypotenuse over the same span. A worked case with B at 9 and A at 25 is 36% efficiency.

Span and sign smoothing

Using the oscillator requires choosing a bar span and applying a five-period exponential moving average to damp sign-flip noise. A ten-bar span is offered as a balance because delay is half the span.

Ceilings, lock-in, and the zero line

On the illustrated stock-index chart the reading tended to cap near 43% in either direction, a ceiling also reported for other stock indices, while other stocks and commodities showed different but still present maxima.

Direction changes in the reading are often smooth, but the value may bounce or oscillate around zero. That mid-zone is treated as zero-line congestion, a region of balanced supply and demand.

After the illustrated index reading passed 66% it often jumped toward 80% and stayed efficient. That stretch is an efficiency lock-in. Just before such a stretch ended, a late maximizing candlestick hook often printed as tall opposite-color candles, so the reading can filter candlestick patterns.

OEX 10-day polarized fractal efficiency

The printed Figure 7 is a daily OEX bar chart with a 10-day polarized fractal efficiency oscillator underneath. A trader should see efficiency pinning near plus or minus 40 percent while a run is efficient, lock-in plateaus such as A under the late-July high, a dwell around the zero line when the tape congests, and the late hook at B that shows up as opposite-color candles at C and D. The series was read off that oscillator using the figure’s own 40 percent up / 40 percent down marks and the zero line; dates follow the printed axis. Values are approximate.
The printed Figure 7 is a daily OEX bar chart with a 10-day polarized fractal efficiency oscillator underneath. A trader should see efficiency pinning near plus or minus 40 percent while a run is efficient, lock-in plateaus such as A under the late-July high, a dwell around the zero line when the tape congests, and the late hook at B that shows up as opposite-color candles at C and D. The series was read off that oscillator using the figure’s own 40 percent up / 40 percent down marks and the zero line; dates follow the printed axis. Values are approximate.OEX · daily · 1992-06-01T00:00:00.000Z to 1992-11-18T00:00:00.000Z

Hannula fixed the span at 10 daily bars and smoothed the signed ratio with a five-period EMA so sign flips at reversals would not spray noise. He reported a typical stock-index ceiling near 43 percent; this figure’s labels mark 40 percent. His later remark that the oscillator can jump from 66 to 80 percent is not a second scale on this plot and was not digitized.

Keep the construction as a filter

The historical pairing is to follow price with trailing-stop follow-through, park a stop beyond the hook extreme, hold through a clean zero cross until opposite-side maximum efficiency, and exit if price congests near zero.

Editorial: keep polarized fractal efficiency in a filter role. Its extremes become a testable setup only when a trailing stop bounds follow-through and a late opposite-color candle marks the hook.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
2 of 7 in the Fractal indicator track
20021-5 pp.Next on Fractal indicatorLong memory, regimes, and the limits of bell-curve modelsA long-memory process keeps current outcomes influencing later ones, so quantitative techniques that need short memory become unreliable when that assumption is false.
All readings on this track · 7 readings
  1. 1992Constructing fractal templates from successive index changes
  2. 1994Constructing polarized fractal efficiency as a path filter
  3. 2002Long memory, regimes, and the limits of bell-curve models
  4. 2003Constructing the fractal dimension index
  5. 2005Constructing a fractal-dimension adaptive moving average
  6. 2007Constructing a fractal-dimension regime filter
  7. 2015Constructing fractal swings as support-resistance atoms
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