2006issue C081
Pairing a dominant-cycle horizon with trend and oscillators
Cycle timing is described as differing from market to market, so locating cycle-phase is presented as a required step before acting. The archive describes a model that builds two components from the dominant-cycle time frame and combines them with other indicators. An editorial reading treats that measured interval as a shared clock for trend and oscillator tools, and treats a forecast as valid only when cycle-phase and the broader trend agree.
- Cycle timing is described as differing from market to market, so locating cycle-phase is presented as a required step before acting.
- Trend direction and cycle-phase are treated as separate readings and can disagree, including an upward trend against a downward cycle.
- Two components built from the dominant-cycle time frame are combined with other indicators rather than applied alone.
- Aligning oscillator-style entries and exits to that horizon is offered as a way to reduce choppiness, and earlier decisions can be reviewed by asking where prices stood in the cycle.
What the archive describes
The archive describes cycle timing as differing from market to market. Locating where prices sit in a cycle is presented as a required step before acting.
A market model is described that uses two components built from the time frame of the dominant cycle. Those dominant-cycle components are presented as being combined with other indicators rather than applied alone.
Treat trend and cycle-phase as separate readings
In this usage, the dominant-cycle is the recurring swing whose measured period becomes the sampling interval and lookback for other calculations. Cycle-phase is where recent prices sit relative to a peak or trough of that measured interval.
An upward trend and a downward cycle are framed as inputs that can disagree. Trend direction and cycle-phase are treated as separate readings, not as one merged switch.
Join the cycle-timed parts with other tools
The two components sized to the dominant-cycle time frame are not presented as a complete timing method on their own. Combination, here, means joining those cycle-timed components with trend and oscillator readings instead of using any one of them as a lone switch.
Sector-fund sentiment behavior is introduced as another cycle-related building block for a timing framework.
Align oscillators to the same horizon
Oscillator-style entries and exits are associated with frequent false reversals. Aligning tools to a dominant-cycle horizon is offered as a way to reduce that choppiness.
Choppiness, in this usage, means repeated oscillator reversals that fail to persist through a full cycle interval.
Review earlier decisions against cycle-phase
Reviewing earlier decisions by asking where prices stood in the cycle at the time of the decision is presented as a diagnostic exercise.
Editorial reading: one clock, then agreement
The shared-clock rule is a TradersWeek editorial reading, not a claim attributed to the archive. It takes the archive fact that two model components are built from the dominant-cycle time frame and applies that same measured lookback to the trend and oscillator tools used in the combination.
The agreement rule is also editorial. Because the archive frames an upward trend and a downward cycle as inputs that can disagree, this reading treats a forecast as valid only when cycle-phase and the broader trend point the same way. If they conflict, the combination is incomplete rather than ready to act.
All readings on this track · 31 readings
- 1982Cycle phase windows for chart signal filters
- 1987Constructing a cycle-scaled trend oscillator
- 1987Constructing a dominant-cycle grid from marked lows
- 1988Cycle lead from staggered exponential averages
- 1988Auditing the forty-month stock-price cycle
- 1989When long-wave dominant cycles cannot be disproved
- 1991Half-cycle average plot shift versus cycle attenuation
- 1991Half-cycle average contact as an amplitude-ratio test
- 1993Building a restoring-pull indicator from cycle frequency and volume
- 1995Regime filters for a dominant long wave
- 1995A cycle-tuned lead filter from bounded oscillators
- 1998Testable cycle rules instead of fear and greed
- 1999Nested Euro cycle timing as one checkable procedure
- 2002Constructing an instantaneous trendline from a dominant cycle
- 2002Half-cycle center of gravity oscillator from moving-average balance
- 2004Testing a locked forty-week cycle with a hold-or-sit-out rule
- 2005Nested timing bands for dominant-cycle confirmation
- 2005Dominant-cycle baselines versus policy-news narratives
- 2006Pairing a dominant-cycle horizon with trend and oscillators
- 2006A dominant-cycle split into a trend filter and residual Relative Strength Index
- 2007Construct a momentum difference from the dominant cycle
- 2007Naive dominant-cycle rules fail without crowd tests
- 2012Constructing a dominant-cycle forecast as a timing window
- 2012Open-parameter construction of dominant-cycle baselines
- 2013Using a second-term election to check a predeclared dominant-cycle forecast
- 2014Constructing a dominant-cycle forecast baseline
- 2014Quotient transform as an early-onset trend filter
- 2014Construct a trough-to-trough cycle map with the Detrended Price Oscillator
- 2015Dominant-cycle alignment before an earnings catalyst
- 2017Causal reverse exponential average for cycle and trend
- 2020Constructing a cycle-plus-trend oscillator from a one-wavelength chord