1998issue C021-7
Two-group exponential average compression as a trend filter
Two exponential-average groups, separated by a lookback gap, are read together. Simultaneous narrowing is the usable warning, the slower group confirms direction, and a group crossover is used only after both bands have compressed.
- Exponential weighting loads more influence onto recent observations, which changes how longer lookbacks behave around turning points.
- The short-horizon average group uses 3-, 5-, 8-, 10-, 12- and 15-day lengths. The long-horizon average group uses 30-, 35-, 40-, 45-, 50- and 60-day lengths, with a lookback gap left unused between them.
- A usable warning is dual-group convergence: both groups narrow in the same compression window. Tightening in only one group is treated as temporary short-horizon weakness.
- After both bands narrow, the cue is the group-crossover direction while the long-horizon averages confirm the prevailing trend. Short-group expansion, or later tightening of the fastest two or three averages, is an exit cue, not a new entry rule.
A multiple-moving-average stack is a single overlay of many exponential averages arranged in two lookback groups. Compression, expansion, and group alignment are read as market-state information rather than as a single numeric threshold.
The short-horizon average group is the faster cluster. It is used to show near-term agreement on value and the first visual tightening. The long-horizon average group is the slower cluster. It is used to confirm broader direction and to reject setups that tighten in only the short group.
Two gapped exponential groups
Exponential averages are chosen because recent observations receive more weight. That exponential weighting changes how longer lookbacks behave around turning points.
The short-horizon average group is built from 3-, 5-, 8-, 10-, 12- and 15-day exponential averages, spaced around half-weekly sampling steps. The long-horizon average group starts by doubling the last short lookback to 30 days, then adds 35-, 40-, 45-, 50- and 60-day exponential averages.
The construction leaves a lookback gap of unused intermediate lookbacks between the two groups so constriction and crossing remain easier to see.
Compression as collapsing agreement
On the illustrated daily series, averages from widely different lookbacks often converge in a short window just before and during major turns instead of crossing in a long staggered lag.
That interval is a compression window: a short span in which several averages from one or both groups narrow together. It is treated as collapsing agreement on value rather than a single price print.
A usable warning is defined as simultaneous narrowing across both groups. That dual-group convergence is treated as a stronger warning than compression confined to one group. Tightening in only one group is treated as temporary short-horizon weakness.
When a group crossover is read
A crossover is read as momentary agreement on value across time frames, not only as a possible change in price direction. That second reading is valuation agreement: two or more lookbacks momentarily price the same series similarly.
After both bands narrow, the operational cue is to follow the direction of the group crossover while the long-horizon averages confirm the prevailing trend. The group crossover is the directional crossing of the short group through the long group. It is used as the long or short cue only after compression has already formed.
Short-group expansion, or a later tightening of the fastest two or three averages, is treated as an exit cue rather than as a new stand-alone entry rule.
A confirmatory trend filter
The stack is used as a confirmatory trend filter after other price or indicator screens. It is not framed as an initiating formula or a single numeric threshold.
In that role, the long-horizon average group is the trend filter. It keeps candidates aligned with the broader average stack and discards those that fail the dual-group test.
All readings on this track · 57 readings
- 1988Constructing moving averages: weights, smoothing and crossovers
- 1988Constructing breadth and average trend states
- 1989Evaluating an always-in-the-market moving-average crossover
- 1989Constructing symmetric market-breadth ratio accumulators
- 1989Objective crossover tests of Fibonacci wave ratios
- 1990Volume-adjusted moving average construction
- 1991Constructing a mechanical crossover on a synthetic price series
- 1991A two-speed breadth reading for intermediate market direction
- 1992A Deutschemark yield map with dual-average and relative-strength timing
- 1992Confirming currency-fund trends with a crossover and a filter
- 1992A moving-average slope filter for crossover signals
- 1992Occupancy and split-sample tests for average crossovers
- 1994Gold-mining seasonality and bond-fund duration switching
- 1994Price oscillator from two moving averages
- 1995Explicit exponential weights and binary entry filters
- 1996Currency futures crossover with slope, bond filter, and stop
- 1996Two-market average crossover entry with a fixed stop
- 1997Construction of a filtered three-average crossover
- 1998Two-group exponential average compression as a trend filter
- 1998Constructing r-squared trend filters with dual lookbacks
- 1998Moving-average length is a habit, not a secret
- 1999Solving the close that triggers a moving-average crossover
- 2000Kagi yang and yin control versus crossover noise
- 2000Constructing simple moving average crossover filters
- 2000Building a vertical-horizontal filter to gate trend signals
- 2000Two-average crossover as a check on trend following
- 2003Stacked exponential-average retracement entries and extreme stops
- 2003Evaluating oscillator thresholds against optimized crossovers
- 2004Constructing a semicycle trend-quality filter
- 2004Commodity subgroups labeled by crossover, support, or convergence
- 2004Full-window evaluation of crossover trend systems
- 2004Two-average trend filters as a classroom critique of indicator stacking
- 2005Three-layer confirmation from a moving-average cross, candles, and Q-stick
- 2005Charting put prices beside an equity breakdown
- 2005Range-gated moving-average crossover construction
- 2007Anticipating a simple-average crossover with a threshold-close
- 2007Anticipating moving-average crossovers one bar ahead
- 2007Lead-series moving-average crossovers with a stochastic and relative strength index
- 2007Next-bar SMA crossover hypotheses from theoretical crossing values
- 2007Anticipating a moving-average crossover before confirmation
- 2007A three-horizon moving-average stack as a construction problem
- 2007Confirming trend with regression slope and r-squared
- 2008Constructing a multi-timeframe smoothed crossover
- 2008Best-day clusters versus trend filters
- 2008Allied markets as a confirmation gate for crossover and breakout signals
- 2008Weekly exponential-average crossover as a mechanical trend case study
- 2010Evaluating a 200-day crossover as long, short, and stand-aside rules
- 2010Read a 10-and-40 trend on two neighboring time frames
- 2012Sampling unit as a first-class parameter on dual simple moving averages
- 2012Constructing index-ETF entries from volatility-index persistence
- 2013Moving-average baselines versus crossover signals
- 2013Constructing a typical-price and heikin-ashi crossover as one mechanical procedure
- 2016A three-gate checklist for longs after a sharp drop
- 2016Weekly inflation-ratio crossover for commodity regimes
- 2017Normalized Laguerre zero-axis warning as a two-marker construction
- 2019Range-weighted construction of an adaptive exponential moving average
- 2020Construct a second-pullback entry after a moving-average crossover