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2004issue C111-4

Two-average trend filters as a classroom critique of indicator stacking

A daily trend filter from two moving averages is enough to write a gated crossover and see the same marks change character when price chops. Editorial reading: run that inspection before anyone adds another oscillator.

  • A daily-chart trend filter can be assembled from a five-period exponential average and a 20-period simple average, then gated by whether price sits below or above both lines.
  • The long moving-average-crossover rule is the shorter volatility-index average crossing under the longer average while price remains below both lines. The short rule is the shorter average crossing over the longer average while price remains above both lines.
  • Nearby lookback pairs such as 9 and 18, 10 and 20, or 15 and 30 periods were treated as interchangeable. Hunting a single best pair is a form of curve-fitting.
  • The same volatility-index filter produced a comparable sequence of marks on a second equity-index daily series, and a 9-period versus 27-period exponential crossover changed character when price chopped rather than trended.
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Current trackMoving-average crossover108 readingsTrend filter137 readingsMoving average449 readings

The remaining toolkit after the stack

After a long stack of breadth, volume, oscillator, band, and pivot studies was discarded, the remaining toolkit was one chart time frame plus a couple of basic moving-average measures used to buy already-strong charts and sell already-weak ones.

In that remaining kit, a moving average is a lookback smoother of ordered prices used as a quantitative baseline rather than a forecast of exact turning points. A trend filter is a quantitative side-of-market gate meant to keep participation aligned with a measured trend instead of calling tops and bottoms.

Write the crossover and the price-location gate

A daily-chart trend filter can be assembled from two moving averages: a five-period exponential average and a 20-period simple average.

A moving-average crossover is a repeatable chart signal that fires when a shorter average crosses a longer average, often gated by where price sits relative to both lines. The price-location gate is the extra condition that price must sit below both averages for a long mark or above both for a short mark.

The long moving-average-crossover rule is the shorter volatility-index average crossing under the longer average while price remains below both lines. The short moving-average-crossover rule is the shorter volatility-index average crossing over the longer average while price remains above both lines.

How the same marks look in a range and in a trend

One February to June 2004 daily example marked five such entries while a broad equity index stayed inside a rolling range near 1080 to 1160.

The same volatility-index moving-average trend filter, applied to a second equity-index daily series, produced a comparable sequence of long and short marks.

A 9-period versus 27-period exponential moving-average crossover was plotted on both a trending stretch and a sideways range to show that the identical signal set changes character when price chops.

Nearby lookbacks and curve-fitting

Nearby lookback pairs such as 9 and 18, 10 and 20, or 15 and 30 periods were treated as interchangeable enough that hunting a single best pair is a form of curve-fitting. Curve-fitting, in this usage, is choosing one supposedly optimal average pair on a single historical window instead of treating nearby lookbacks as interchangeable.

S&P 500 daily, February–June 2004

Daily S&P 500 closes stay inside a modest 1080–1160 range while a 5-period exponential average and a 20-period simple average mark the same long and short gates the article writes on the VIX. Values are read from the lower Quote.com pane of the VIX/SPX pair, not from a table.
Daily S&P 500 closes stay inside a modest 1080–1160 range while a 5-period exponential average and a 20-period simple average mark the same long and short gates the article writes on the VIX. Values are read from the lower Quote.com pane of the VIX/SPX pair, not from a table.S&P 500 Index (CBOE) · Daily · 2004-02-02T00:00:00.000Z to 2004-06-07T00:00:00.000Z

Closes are approximate visual readings from the candlestick pane. The source states highs near 1160 and lows around 1080 and last print 1136.47; moving-average lengths are the article’s 5-period EMA and 20-period SMA.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
32 of 57 in the Moving-average crossover track
20051-4 pp.Next on Moving-average crossoverThree-layer confirmation from a moving-average cross, candles, and Q-stickA golden-cross or dead-cross labels the trend hypothesis, and the same crossover logic is described as usable on weekly and daily charts across different average-length pairs.
All readings on this track · 57 readings
  1. 1988Constructing moving averages: weights, smoothing and crossovers
  2. 1988Constructing breadth and average trend states
  3. 1989Evaluating an always-in-the-market moving-average crossover
  4. 1989Constructing symmetric market-breadth ratio accumulators
  5. 1989Objective crossover tests of Fibonacci wave ratios
  6. 1990Volume-adjusted moving average construction
  7. 1991Constructing a mechanical crossover on a synthetic price series
  8. 1991A two-speed breadth reading for intermediate market direction
  9. 1992A Deutschemark yield map with dual-average and relative-strength timing
  10. 1992Confirming currency-fund trends with a crossover and a filter
  11. 1992A moving-average slope filter for crossover signals
  12. 1992Occupancy and split-sample tests for average crossovers
  13. 1994Gold-mining seasonality and bond-fund duration switching
  14. 1994Price oscillator from two moving averages
  15. 1995Explicit exponential weights and binary entry filters
  16. 1996Currency futures crossover with slope, bond filter, and stop
  17. 1996Two-market average crossover entry with a fixed stop
  18. 1997Construction of a filtered three-average crossover
  19. 1998Two-group exponential average compression as a trend filter
  20. 1998Constructing r-squared trend filters with dual lookbacks
  21. 1998Moving-average length is a habit, not a secret
  22. 1999Solving the close that triggers a moving-average crossover
  23. 2000Kagi yang and yin control versus crossover noise
  24. 2000Constructing simple moving average crossover filters
  25. 2000Building a vertical-horizontal filter to gate trend signals
  26. 2000Two-average crossover as a check on trend following
  27. 2003Stacked exponential-average retracement entries and extreme stops
  28. 2003Evaluating oscillator thresholds against optimized crossovers
  29. 2004Constructing a semicycle trend-quality filter
  30. 2004Commodity subgroups labeled by crossover, support, or convergence
  31. 2004Full-window evaluation of crossover trend systems
  32. 2004Two-average trend filters as a classroom critique of indicator stacking
  33. 2005Three-layer confirmation from a moving-average cross, candles, and Q-stick
  34. 2005Charting put prices beside an equity breakdown
  35. 2005Range-gated moving-average crossover construction
  36. 2007Anticipating a simple-average crossover with a threshold-close
  37. 2007Anticipating moving-average crossovers one bar ahead
  38. 2007Lead-series moving-average crossovers with a stochastic and relative strength index
  39. 2007Next-bar SMA crossover hypotheses from theoretical crossing values
  40. 2007Anticipating a moving-average crossover before confirmation
  41. 2007A three-horizon moving-average stack as a construction problem
  42. 2007Confirming trend with regression slope and r-squared
  43. 2008Constructing a multi-timeframe smoothed crossover
  44. 2008Best-day clusters versus trend filters
  45. 2008Allied markets as a confirmation gate for crossover and breakout signals
  46. 2008Weekly exponential-average crossover as a mechanical trend case study
  47. 2010Evaluating a 200-day crossover as long, short, and stand-aside rules
  48. 2010Read a 10-and-40 trend on two neighboring time frames
  49. 2012Sampling unit as a first-class parameter on dual simple moving averages
  50. 2012Constructing index-ETF entries from volatility-index persistence
  51. 2013Moving-average baselines versus crossover signals
  52. 2013Constructing a typical-price and heikin-ashi crossover as one mechanical procedure
  53. 2016A three-gate checklist for longs after a sharp drop
  54. 2016Weekly inflation-ratio crossover for commodity regimes
  55. 2017Normalized Laguerre zero-axis warning as a two-marker construction
  56. 2019Range-weighted construction of an adaptive exponential moving average
  57. 2020Construct a second-pullback entry after a moving-average crossover
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All 108 readings tagged Moving-average crossover
Also on Moving-average crossover5 readings
1992Confirming currency-fund trends with a crossover and a filter1992A moving-average slope filter for crossover signals1998Two-group exponential average compression as a trend filter1998Constructing r-squared trend filters with dual lookbacks2000Building a vertical-horizontal filter to gate trend signals