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2005issue C051-4

Nested timing bands for dominant-cycle confirmation

This case study stacks stock-market work into nested degrees and writes each average length as a timing band. A cycle start or cycle top waits on overlapping windows and on swing turns from the daily scale back to the monthly scale.

  • The case stacks three nested stock-market rhythms: an annual length of about 12 months, a next-smaller length averaging about 22 weeks, and a trading length of about 40 days.
  • A cycle start is framed as overlapping timing bands, and 70 to 80 percent of bottoms are treated as falling inside the shared window.
  • Degree confirmation runs as a ladder of swings from daily to weekly to monthly, then verifies from the shorter degree back to the longer one.
  • A cycle profile of advance duration and a break in the staircase of highs and lows, called cyclical deterioration, are used as warnings that the next larger degree may be turning.
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Three nested stock-market rhythms

Stock-market cycle work in this case study stacks three nested rhythms: an annual length of about 12 months, a next-smaller length averaging about 22 weeks, and a trading length of about 40 days.

A dominant cycle is the average length treated as the primary rhythm on a given market and chart scale. It is used to locate an expected timing window rather than a single date. Each of those average lengths is written as a timing band, the interval around the average in which a bottom or top is treated as clustered, not guaranteed.

A cycle start as overlapping windows

A cycle start is framed as overlapping windows. When the annual rhythm is inside its expected bottoming month, the 22-week and 40-day windows are checked for coincidence.

The case treats 70 to 80 percent of bottoms as falling inside that shared band.

Degree confirmation from short to long

Turn confirmation is described as a ladder of swings from daily to weekly to monthly, with the larger timing band expected to contain the medium and smaller bands. After that nesting is in place, verification runs from the shorter degree back to the longer one.

Nested degrees are the stacked cycle lengths on daily, weekly, and monthly scales that are expected to turn together at a larger-degree pivot. Degree confirmation is the required sequence of swing and indicator turns from the shortest degree to the longest before a cycle start or top is accepted.

Turn tools beside oscillators

Oscillators are not treated as the only turn tools. The case also specifies a 5-3-3 stochastic, a dedicated cycle-turn measure for intermediate confirmation, and a trend measure used to keep the larger direction in view.

Cycle profile and cyclical deterioration

The longer stock-market rhythm labeled a four-year cycle is quantified from a sample starting in 1896 and is described as averaging 47 months. Individual cycles are allowed to contract and expand around that average.

A cycle profile is a historical template of how long an advance or decline at a given degree has typically lasted and whether it has held or broken the prior extreme. One annual-cycle profile rule is advance duration: an advance that fades in six months or less is treated as more likely to break the prior low, while an advance that holds into the seventh month or longer is treated as more likely to stay above that low.

In a strong uptrend, each trading-cycle low and high is expected to form above its predecessor. A violated prior low or a failure to exceed a prior high is labeled cyclical deterioration and treated as a warning that the next larger degree may be topping.

Length depends on the market

Dominant-cycle length is treated as market-specific. A four-year rhythm is assigned to the dollar, an eight-and-a-half to nine-year rhythm to gold, and a three-year rhythm to a broad commodity basket.

Meaningful cycle expectations are said to require a large historical population. The case illustrates this by tracing the four-year stock-market sample to 1896 and describing it as more than 100 cycles, while a shorter commodity-basket sample is noted as weaker by comparison.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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20051-1 pp.Next on Dominant cycle detectionDominant-cycle baselines versus policy-news narrativesAn anticipated policy-rate increase was still followed by a sharp equity decline after prices had been advancing.
All readings on this track · 31 readings
  1. 1982Cycle phase windows for chart signal filters
  2. 1987Constructing a cycle-scaled trend oscillator
  3. 1987Constructing a dominant-cycle grid from marked lows
  4. 1988Cycle lead from staggered exponential averages
  5. 1988Auditing the forty-month stock-price cycle
  6. 1989When long-wave dominant cycles cannot be disproved
  7. 1991Half-cycle average plot shift versus cycle attenuation
  8. 1991Half-cycle average contact as an amplitude-ratio test
  9. 1993Building a restoring-pull indicator from cycle frequency and volume
  10. 1995Regime filters for a dominant long wave
  11. 1995A cycle-tuned lead filter from bounded oscillators
  12. 1998Testable cycle rules instead of fear and greed
  13. 1999Nested Euro cycle timing as one checkable procedure
  14. 2002Constructing an instantaneous trendline from a dominant cycle
  15. 2002Half-cycle center of gravity oscillator from moving-average balance
  16. 2004Testing a locked forty-week cycle with a hold-or-sit-out rule
  17. 2005Nested timing bands for dominant-cycle confirmation
  18. 2005Dominant-cycle baselines versus policy-news narratives
  19. 2006Pairing a dominant-cycle horizon with trend and oscillators
  20. 2006A dominant-cycle split into a trend filter and residual Relative Strength Index
  21. 2007Construct a momentum difference from the dominant cycle
  22. 2007Naive dominant-cycle rules fail without crowd tests
  23. 2012Constructing a dominant-cycle forecast as a timing window
  24. 2012Open-parameter construction of dominant-cycle baselines
  25. 2013Using a second-term election to check a predeclared dominant-cycle forecast
  26. 2014Constructing a dominant-cycle forecast baseline
  27. 2014Quotient transform as an early-onset trend filter
  28. 2014Construct a trough-to-trough cycle map with the Detrended Price Oscillator
  29. 2015Dominant-cycle alignment before an earnings catalyst
  30. 2017Causal reverse exponential average for cycle and trend
  31. 2020Constructing a cycle-plus-trend oscillator from a one-wavelength chord
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