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1996issue C021-3

Testing Fibonacci retracement bins with moving-average swings

A 13-day moving average locked every reactionary high and low, then a sliding-bin count asked which classic one-third, one-half, or two-thirds pullback mark collected the measured corrections.

  • Technician lore treated a 33.3 percent pullback as the shallowest correction expected after late buyers exit an advance, and a 66.6 percent pullback as the deepest correction still taken to mean demand remained clearly stronger than supply.
  • Between those bounds, a 50 percent pullback was taught as the most common place for a correction to end, even though an exact 50.0 percent print was described as rare.
  • Reactionary highs and lows were labeled only after a close crossed a 13-day moving average, and each correction was then sized as a percentage retracement of the prior impulse.
  • Among 150 Treasury-bond corrections, counts peaked in the 19 to 28, 43 to 52, and 77 to 86 percent windows. The short and long peaks did not sit on the 33.3 or 66.6 percent marks, while the half-retracement mark fell inside the most populated window.
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Three inherited pullback marks

Technician lore in the source period treated a 33.3 percent pullback as the shallowest correction expected after late buyers exit an advance. The same lore treated a 66.6 percent pullback as the deepest correction still taken to mean that demand remained clearly stronger than supply.

Between those bounds, a 50 percent pullback was taught as the most common place for a correction to end, even though an exact 50.0 percent print was described as rare. Those one-third, one-half, and two-thirds marks were the candidate continuation levels later scored against measured corrections.

Swings locked by a moving-average cross

Reactionary lows and highs were labeled only after a close crossed a 13-day moving average, using the extreme close on the opposite side of that average. A reactionary high is the highest close while price remains above the moving average, recorded only after a later close falls below that average. A reactionary low is the lowest close while price remains below the moving average, recorded only after a later close rises above that average.

An uptrend required a pair of higher highs and higher lows, and a downtrend required a pair of lower highs and lower lows. Each correction was then sized as a percentage retracement of the immediately prior impulse in the same trend.

A sliding-bin count of the sample

On a continuous Treasury-bond series covering 15 calendar years, 150 corrections were recorded and every one measured between 9 percent and 100 percent of the prior move. Retracements beyond 100 percent were excluded as trend breaks.

Corrections were tallied in successive 10-percentage-point windows stepped by 1 percent from the 1 to 10 percent window through the 91 to 100 percent window. That sliding-bin count is a tally of corrections inside those advancing windows, from the shortest pullbacks to a full retrace.

Where the counts peaked

The resulting counts peaked in the 19 to 28, 43 to 52, and 77 to 86 percent windows, and 27 of the 150 corrections fell in the 43 to 52 percent window. The populated short and long peaks did not sit on the 33.3 percent or 66.6 percent marks, so those conventional minimum and maximum levels were not supported by the sample.

The half-retracement mark did fall inside the most populated window.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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All readings on this track · 17 readings
  1. 1996Testing Fibonacci retracement bins with moving-average swings
  2. 1996A pre-trade checklist for pullback entries and abstention
  3. 2003Sliding-window retracements on the relative strength index
  4. 2005Three removable gates for a long entry after a confirmed lower low
  5. 2005Why informal trend calling fails on a confused tape
  6. 2005Currency Fibonacci levels and overnight entry rules
  7. 2006Cycle and Fibonacci timing without trend context
  8. 2007Round-number reversals on equity-index charts
  9. 2008Parameter windows: exponential averages versus the alligator and Fibonacci lookbacks
  10. 2010A Dollar Index bounce as a failed-support, Fibonacci and volume test
  11. 2011A pre-trade checklist before Fibonacci entries
  12. 2012Fractal price growth and measured retracements
  13. 2015Scored reversals wait for a three-bar breakout
  14. 2016Intraday decision areas with Fibonacci and stochastic confirmation
  15. 2020One-to-one Fibonacci support on the February 2020 indexes
  16. 2020Fibonacci retracement levels fail a frequency test
  17. 2020A second-chance daytrade from the mean-reversion pivot zone
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