2005issue C081-4
Current-bar inclusion can mute a stochastic channel break
A raw Stochastic oscillator ranks the close inside a lookback that already contains the current bar. An excursion that would sit outside a prior-only high-low channel is absorbed into the oscillator scale, so a bounded reading can stay muted through a channel break.
- A raw Stochastic oscillator ranks the close inside a lookback that already contains the current bar, so an excursion that would sit outside a prior-only high-low channel is absorbed into the oscillator scale.
- A gradual grind along the floor of a tight band can occupy the same oversold zone as an abrupt range exit, so the oscillator reading alone does not separate those two path types.
- When the oscillator is already pinned near an extreme, a further break from the near edge of the prior band registers as a smaller increment than an equal-looking break that starts from the far edge.
- A further averaging step on the raw Stochastic oscillator reduces the contrast between a sharp range exit and a slow walk from one edge of the band to the other.
How a raw stochastic absorbs a break
A raw Stochastic oscillator ranks the close inside a lookback that already contains the current bar, so an excursion that would sit outside a prior-only high-low channel is absorbed into the oscillator scale.
When the oscillator is already pinned near an extreme, a further break from the near edge of the prior band registers as a smaller increment than an equal-looking break that starts from the far edge.
A gradual grind along the floor of a tight band can occupy the same oversold zone as an abrupt range exit, so the oscillator reading alone does not separate those two path types.
A prior-only channel shows what the inclusive band hides
On one illustrated equity, successive downside channel exits in autumn 2004 produced no matching breakout signature on a 14-bar Stochastic oscillator.
Redrawing the same 14-bar high-low construction once as a prior-only channel and once as a current-inclusive band makes the breakout visible on the first and muted on the second.
Averaging and related transforms
A further averaging step on the raw Stochastic oscillator reduces the contrast between a sharp range exit and a slow walk from one edge of the band to the other.
The same current-bar inclusion question applies whenever a live observation is compared with a volatility or range reference that already contains that observation.
A stochastic transform of a heavily smoothed Relative Strength Index series can restore visibility of smaller swings that the parent oscillator compresses.
All readings on this track · 33 readings
- 1988Opening-range brackets, a two-bar trend filter, and bounded stops
- 1990Bezier-curve price trend filter
- 1992Constructing a damping-index trend filter
- 1992Building a random walk index trend filter
- 1992Phase diagrams for moving-average trend filters
- 1993Volume-weighted change smoothing and trend ranking
- 1993Concurrent highest-low filter with a largest-low-fall trigger
- 1994Unit-invariant trend filters and the c-test
- 1995Constructing cup and cap entries with a three-bar net line
- 1997Why a daily timing evaluation depends on interval, lookbacks, and the fitting objective
- 2001A volume budget clock for trend-segment construction
- 2001Keep three jobs separate when you test a composite score
- 2002Evaluating the weekly four-percent close filter as a market-state procedure
- 2003Constructing a confirmed zigzag trend filter
- 2004Decompose high, low, and close into separate forecast streams
- 2005Three-state moving-average breakout bar coloring
- 2005Constructing a volume and move-adjusted trend filter
- 2005A fifty-day average breakout as a trend permission filter
- 2005Current-bar inclusion can mute a stochastic channel break
- 2006A stochastic oscillator gated by a long-term exponential average
- 2010A construction test for a modified volume-price trend filter
- 2011Constructing a Spearman rank trend filter
- 2013Constructing a repeated-median slope as a resistant trend filter
- 2014Combining a relative-strength index and trend filters for oversold setups
- 2014Price-rooted lookbacks for a relative strength index, a moving average, and a trend filter
- 2015Evaluating next-session intermarket range forecasts
- 2018Read the intermarket weight matrix first, then the predicted moving-average filter
- 2018Constructing the stiffness trend filter from moving-average holds
- 2018The averaging kernel and the lagged trend gate are separate specifications
- 2019A trend filter is not ready to compare until portfolio constraints are written down
- 2019Lookback, threshold, and position-capacity for a stiffness trend-filter
- 2020Combining a trend filter with a moving average and a stochastic oscillator
- 2020Constructing a relative-strength oscillator with a rank-agreement trend filter