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2004issue C121-5

Range-bound tape as a filter for trend and oscillator rules

A four-stage market map treats a sideways tape as the setting in which short-horizon traders hunt names still in a clear advance or decline, rather than fading the index itself. Stages are read from a 30-week simple moving average, with a 150-day line as the daily counterpart. Oscillator turns are taken only after a slower moving-average convergence/divergence confirmation, with the stop set on that signal day.

  • A sideways tape is the setting in which short-horizon traders hunt names still in a clear advance or decline, rather than fading the index itself.
  • Stage labels come from a 30-week simple moving average, or from a 150-day average so the same labels can be read on a shorter chart.
  • In a decline or an advance, an overbought or oversold oscillator turn is taken only after a slower moving-average convergence/divergence confirmation, with the stop set on that signal day.
  • A name already far below its 150-day average is left unshorted, and the infrequent combined signals are applied across a large watch list that is reclassified over time.
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Current trackMean reversion43 readingsMACD115 readingsStochastic oscillator170 readings

A four-stage map and a sideways tape

A four-stage market map treats a sideways tape as the setting in which short-horizon traders hunt names still in a clear advance or decline rather than fading the index itself.

How stages are classified

Stage classification is defined against a 30-week simple moving average. Price above a rising average is an advance, price below a falling average is a decline, and sideways play around the average marks a range.

A short-horizon counterpart uses a 150-day average as the approximate daily equivalent of the 30-week line so stage labels can be applied on a shorter chart.

Continental Airlines weekly close versus its 30-week average

Weekly Continental Airlines closes show the four-stage sequence used as the article’s worked example: a late-bear decline under a falling 30-week average, a spring 2003 base, an advance from about 8 to 15 dollars above a rising average, then a 2004 rollover that leaves the stock near 9.50 under a declining 12.50 average. Values are read from the weekly StockCharts pane dated 21 July 2004 and pinned to the article’s stage-II marks of about 8 and 15 dollars and to the printed last close.
Weekly Continental Airlines closes show the four-stage sequence used as the article’s worked example: a late-bear decline under a falling 30-week average, a spring 2003 base, an advance from about 8 to 15 dollars above a rising average, then a 2004 rollover that leaves the stock near 9.50 under a declining 12.50 average. Values are read from the weekly StockCharts pane dated 21 July 2004 and pinned to the article’s stage-II marks of about 8 and 15 dollars and to the printed last close.CAL · weekly · 2002-05-01T00:00:00.000Z to 2004-07-31T00:00:00.000Z

Intervening weekly closes are sampled about once a month from the candles and are approximate. The last close (9.49) and last 30-week average (12.50) are the printed 21 July 2004 figures.

Earlier warning at the end of a decline

A moving-average convergence/divergence reading can diverge from price near the end of a decline and thereby give earlier chart warning that a base is forming.

Entries, stops, and the reverse case

Inside the larger stage, the procedure waits for a stretched, then reversing, condition and turns that reversal into entry, stop, and exit rules. A lookback oscillator of ordered price marks overbought and oversold turns as a forecast of a short-horizon bounce or fade. A slower moving-average convergence/divergence reading then confirms that a stage-aligned turn has begun.

In a decline, the procedure waits for an overbought stochastic and commodity-channel turn, then takes the short only after a slower moving-average convergence/divergence sell, with a stop just above that signal day's high.

In an advance, the same oscillator pair is used in reverse. The procedure waits for an oversold bounce, enters on a moving-average convergence/divergence buy, and places the stop just below the signal day's low.

When not to short, and how names are reviewed

A name that has already fallen a large distance below its 150-day average is treated as too stretched to short immediately because bargain buying and short covering can force a rebound.

Because the combined stage-plus-oscillator signals are infrequent, the method is applied across a large watch list and names are periodically reclassified as still advancing or still declining.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
12 of 36 in the Mean reversion track
20051-4 pp.Next on Mean reversionA moving-average short pullback that is only in scope in a declineDeclining, advancing, and basing markets are framed as distinct environments that each need a dedicated procedure rather than one generic system.
All readings on this track · 36 readings
  1. 1986A futures fade as one range, order, and secrecy procedure
  2. 1992Constructing the mass-index range-reversal procedure
  3. 1993Switch trend following and mean reversion with an equity-curve filter
  4. 1994Evaluating weekly trend-following and mean-reversion timing rules
  5. 1996Dual-horizon bands for a precious-metals cash switch
  6. 1997Constructing a moving regression oscillator
  7. 1997Regime-dependent long and short rules in mechanical systems
  8. 2002A same-session pair book with a morning-fixed volatility envelope
  9. 2004Combining noncorrelated trend and reversion systems
  10. 2004Failed-breakout overlays on trending markets
  11. 2004Rank rotation after a path split, then Robustness testing
  12. 2004Range-bound tape as a filter for trend and oscillator rules
  13. 2005A moving-average short pullback that is only in scope in a decline
  14. 2006Constructing an adaptive price zone from a double-smoothed range
  15. 2007Two-period relative strength index versus a one-week universe baseline
  16. 2008Building ETF mean-reversion entries with a two-bar washout
  17. 2008Rebuild a short-period stochastic as a premier stochastic oscillator
  18. 2008A three-market regime map for equity bounces and dollar cycles
  19. 2009Option trade adjustment as one testable procedure
  20. 2010Implied volatility as a May 2010 market-regime lab for the S&P 500
  21. 2011Treat a large one-day move as a classified event
  22. 2011Long-call exits, volatility regimes, and spread assignment
  23. 2011Pairing same-horizon oscillators with a walk filter
  24. 2012Two-bar band extreme entries with trailing stops
  25. 2012An eight-month average as a monthly gate for high-yield bonds
  26. 2014Complete the checklist before the trade
  27. 2014Coded rules should face one test, not a kinder sample
  28. 2015Build a mean-reversion basket from one correlation path
  29. 2015Index dip reversion is horizon and regime dependent
  30. 2016Treat the end of a trend as a handoff, not a broken system
  31. 2017A testable half-swing pullback for trend continuation
  32. 2017Evaluating four swing detection rules for mean reversion
  33. 2018Intraday breakout and mean reversion as one rule set
  34. 2018Evaluating rare consecutive-close mean-reversion entries
  35. 2020Moving-average baselines, price vetoes, and mean reversion
  36. 2020Two-dimensional FX scaling for trend and reversal systems
By fieldTrend and mean reversion93 readingsBy year2004107 readings
All 43 readings tagged Mean reversion
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