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2003issue C031-4

Stacked exponential-average retracement entries and extreme stops

An intermediate-term trend is treated as established only when a 150-day exponential-average slope, a 50-day average stacked with that slower line, and a matching swing sequence all agree. A retracement is then studied through two short-span crossovers, with the initial stop parked just beyond the retracement extreme or the setup skipped if that distance already exceeds a pre-set risk ceiling.

  • The intermediate-term trend in this construction is framed for a planned hold of one to six months and is treated as established only when the 150-day exponential-average slope, the place of the 50-day average above or below that line, and a matching sequence of swing highs and lows coincide.
  • A retracement large enough to study is marked by a 5-day versus 15-day exponential-average crossover against the confirmed trend. The entry is a later 5-day versus 10-day crossover back with that trend.
  • The initial stop-loss sits just beyond the retracement extreme: just below a correction low after an upside entry, or just above a rally high after a downside entry.
  • If the distance from the intended entry to that stop already exceeds a pre-set risk ceiling, illustrated as 10 percent versus a 12 percent stop distance, the setup is skipped.
Entries in this reading3 entries
Current trackMoving-average crossover108 readingsExponential smoothing117 readingsStop-loss order144 readings

A measured retracement inside an intermediate-term trend

This construction is written for participants who typically plan to hold a position for one to six months. The intermediate-term trend is not taken from a single average. It is treated as established only when three conditions coincide: the slope of a 150-day exponential average, the position of a 50-day exponential average relative to that 150-day average, and a matching sequence of swing highs and lows.

A retracement is a temporary move against a still-intact trend, observed as a correction during an advance or a rally during a decline. Exponential-smoothing of daily prices at 5-, 10-, 15-, 50-, and 150-day spans defines the trend stack, the pullback, and the resumption trigger.

The slow stack and the swing sequence

Exponential-smoothing at the 150-day and 50-day spans supplies the slow stack. An uptrend requires an upward 150-day exponential-average slope, the 50-day average above the 150-day average, and a series of higher highs and higher lows. A downtrend requires the inverse stack and a series of lower highs and lower lows.

The slope of the 50-day exponential average is treated as secondary. Only its location above or below the 150-day average is required for the trend stack.

Two successive crossover tests

Once that intermediate-term trend is in place, a pullback large enough to study is marked by a moving-average-crossover of the 5-day exponential average through the 15-day exponential average against the confirmed trend. The 5-day line crossing below the 15-day line flags the counter-move in an uptrend. The 5-day line crossing above the 15-day line flags it in a downtrend.

The entry trigger is a later moving-average-crossover of the 5-day average through the 10-day average, back in the direction of the confirmed trend. Editorial note: the first test admits the retracement; the second test is the only re-entry this workflow offers.

WMT daily: 5-day EMA crosses below 15-day EMA inside a stacked uptrend

Wal-Mart daily from mid-December 2001 into 1 February 2002 shows a stacked intermediate uptrend (50-day EMA above a rising 150-day EMA) while the 5-day average crosses below the 15-day average near 14 January, marking a correction against that uptrend. Prices then resume higher, with the 5-day average back above the 15-day by late January. End-of-chart EMA prints and the 1 February OHLC are taken from the source header; the series themselves are read off the plotted curves, so the path is approximate.
Wal-Mart daily from mid-December 2001 into 1 February 2002 shows a stacked intermediate uptrend (50-day EMA above a rising 150-day EMA) while the 5-day average crosses below the 15-day average near 14 January, marking a correction against that uptrend. Prices then resume higher, with the 5-day average back above the 15-day by late January. End-of-chart EMA prints and the 1 February OHLC are taken from the source header; the series themselves are read off the plotted curves, so the path is approximate.WMT · daily · 2001-12-17T00:00:00.000Z to 2002-02-01T00:00:00.000Z

The source marks the 5-day/15-day cross as the first of two short-span tests; the later 5-day/10-day resumption signal is described in the text but is not drawn on this figure. Digitised from the raster at roughly two-to-three-session spacing; last-print EMA and OHLC values are the exact header figures (EMA 150/50/15/5 = 54.09/56.58/58.24/59.07; close 59.11).

Retracement-extreme stop and risk-threshold veto

The initial stop-loss is a retracement-extreme-stop placed just beyond the completed retracement extreme. After an upside entry it sits just below the correction low. After a downside entry it sits just above the rally high.

The same stop-loss also acts as a veto. If the distance from the intended entry to that stop exceeds a pre-set risk ceiling, the setup is skipped rather than entered. The archive illustrates the ceiling as 10 percent against a 12 percent stop distance.

How the three tests sit in order

Editorial sequence: exponential-smoothing builds the intermediate-term trend, marks the retracement, and times the resumption. The two moving-average-crossover tests are the only directional signals in the workflow. The stop-loss either parks invalidation at the retracement extreme or applies the risk-threshold-veto before a position is opened.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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20031-5 pp.Next on Moving-average crossoverEvaluating oscillator thresholds against optimized crossoversPrice action is split into a directional trend, marked by successive higher highs and higher lows or the inverse, and a two-sided range with no durable drift.
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
By fieldEntry and exit rules206 readingsBy year2003104 readings
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