1989issue C041-7
Equal-weight zero-cross from smoothed spreads
A historical construction places four price, breadth, and volume series on one scale, subtracts a 10 percent exponential-smoothing curve from each normalized series, matches residual amplitudes, and averages the result. A zero-cross of that composite is the momentum-strategy event, and the sign of the average is the trend-filter.
- Each of the four inputs is normalized to a 0-to-100 scale from its own minimum-to-maximum range before any residual is taken.
- A component-oscillator is the period-by-period difference between that normalized series and its 10 percent exponential-smoothing curve.
- Range-matching aligns residual amplitudes so the composite-oscillator is an equal-weight average of the four component oscillators.
- A zero-cross is the momentum-strategy entry or exit event, and the sign of the average also serves as a trend-filter.
Agreement as a construction problem
Editorial reading: treat multi-indicator agreement as a construction problem. Put every series on one scale, measure it as a residual to its own exponential-smoothing curve, then match amplitudes before averaging. A zero-cross is then an explicit, equal-weight consensus test rather than a remembered checklist.
The archive workflow that follows is a historical construction of that kind. It does not establish present-day performance.
Four inputs and a shared 0-to-100 scale
The worked composite used four inputs: a major industrial price average; a breadth composite of net advancing issues, net up volume, and net new highs; a relative-strength reading of that breadth composite; and a running product of daily net volume and the daily net breadth composite.
Each input is normalized to a 0-to-100 scale by subtracting the series minimum from the observation, dividing by the series range, and multiplying by 100. Normalization means expressing each observation as a percentage of that series own minimum-to-maximum range so the inputs share a 0-to-100 scale.
Residuals to a 10 percent smooth
A 10 percent exponential-smoothing curve is computed on each normalized series and treated as a short-horizon support or resistance reference, described as comparable to a 20-day moving average. Exponential-smoothing is a recursively weighted short-horizon average of an ordered series; here it is the reference subtracted from each normalized input.
Each component-oscillator is the normalized series minus that exponential-smoothing curve, evaluated at every sampling interval.
Range-matching and the equal-weight average
Component oscillators are then multiplied or divided by a simple factor so they share a common amplitude. In the example, only the relative-strength residual needed adjustment because it nominally spanned about plus or minus 30 while the others spanned about plus or minus 10. Range-matching is that simple multiply-or-divide adjustment, applied before the series are averaged.
The composite-oscillator is the equal-weight average of those matched oscillators.
Zero-cross as momentum-strategy and trend-filter
A zero-cross is a change of sign in the composite. It is read as the typical series crossing its exponential-smoothing curve in the same direction and is the momentum-strategy entry or exit event. Momentum-strategy here means the full enter, exit, or stand-aside procedure that fires when the averaged residual crosses its signal level.
The sign of the average also serves as a trend-filter. The trend-filter is the sign of the averaged residual relative to a chosen threshold, used to stay with or leave the prevailing short-term direction.
Paper window, options, and overlays
The procedure was followed on paper across a 26-month window from June 1986 to September 1988. Grouped losing signals were attributed to short-cycle, volatile stretches, while trending stretches were described as the intended setting.
Optional construction changes include averaging more series to reduce composite volatility and replacing the zero threshold with staggered levels such as plus two to enter and minus two to exit.
Discretionary overlays were suggested: skip a one-day selloff signal when an advance off a major low is only two to three weeks old, and give more weight to an exit when a zero-cross coincides with a broken intermediate trendline after a multi-month advance. Editorial note: those overlays are not part of the mechanical equal-weight average.
All readings on this track · 51 readings
- 1984Half-cycle differencing for momentum signals
- 1987Relative strength evaluation under competing optimization criteria
- 1988Weekly MACD as a two-clock momentum confirmation stack
- 1989Equal-weight zero-cross from smoothed spreads
- 1989Testing relative-strength-index reversal rules against trend continuation
- 1989Smoothed three-day futures filter for index option bounces
- 1989Cycle-length windows for momentum, Relative Strength Index, and stochastic construction
- 1991Filtered rally magnitude as a bull-regime breakout
- 1992Constructing true strength from double-smoothed momentum
- 1992Constructing a double-smoothed true strength index
- 1993When momentum structure and breadth break together
- 1993Constructing double-smoothed range and momentum oscillators
- 1993Constructing a two-parameter relative momentum index
- 1993Building a bounded momentum oscillator with RSI smoothing
- 1993Two-speed oscillators with divergence and trendline gates
- 1993Constructing a relative momentum index from the relative strength index
- 1994Constructing daily advance-decline breadth tools
- 1994Building a composite regime score from monetary climate and weekly trend
- 1994Averaging Relative Strength Index and the stochastic oscillator into one reversal oscillator
- 1995Dividend-yield regression as a hold versus momentum gate
- 1996Jump and hold filters for long-term Treasury yield direction
- 1997Constructing extendedness from a 10 percent swing filter
- 1997A range-expansion oscillator that can refuse its own stretch
- 1997RSI trend permission and Fibonacci pullback rules
- 1998Nested midpoint construction for a range-normalized oscillator
- 1999Evaluating Relative Strength Index momentum with zero-line and threshold rules
- 1999Treat RSI and momentum as three mechanical procedures
- 2000Thrust strength figure from moving-average swings
- 2001Constructing a non-range-bound balance of market power score
- 2004Cleaned breadth oscillator and new-high divergence: a swing-market case file
- 2004Evaluating advance-issues-momentum on a fixed-symbol-basket
- 2004Constructing a trend filter from two adjacent high-low windows
- 2006A dollar-versus-commodity extreme as a regime case
- 2008Zero-centered stochastic bands and bracket stops
- 2012Evaluating engulfing momentum across hold windows
- 2012Staged stops as one mechanical entry and exit procedure
- 2012Stacking a relative-strength-index forecast, a trend filter, and long-only momentum
- 2013Constructing fair-value filters from averages and momentum
- 2014Constructing a multi-window slope divergence entry
- 2015Bandedge trend filter construction with inverse crossover rules
- 2017Opposite rules for index price and volatility momentum
- 2018A three-state overlay that colors a trend only after the line clears the bar
- 2018Half-cycle relative-strength index with a Fisher map for cyclic reversals
- 2018Emotion as a rule input when momentum breaks
- 2018Two-bar body expansion as a momentum breakout construction
- 2019Pair a two-day high breakout with a volume-weighted exit on the same chart
- 2020Building reflex and trendflex cross and extreme entry rules
- 2020Construct a dual-series price momentum oscillator overlay
- 2020A multi-timeframe stochastic as a panel of weekly voters
- 2020Centerline crossovers that compare index momentums
- 2020Multi-timeframe stochastic voting as one mechanical rule