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1994issue C121-7

Evaluating weekly trend-following and mean-reversion timing rules

Long-horizon timing is evaluated only when lookbacks, confirmation filters, and the execution calendar form one closed procedure. This archive article compares a lagged trend-following design with a thresholded mean-reversion oscillator on the same weekly index tape.

  • One-variable timing rules are teaching starting points that may fit trending or range-bound regimes but are unlikely to remain effective in every market condition.
  • Trend-following, moving-average, and mean-reversion designs here are long-horizon timing procedures, typically holding for many months or years, and were built and evaluated on weekly closes of a broad equity index.
  • A trend-following entry requires the weekly close to exceed both the smoothed 40-week average and the five-week high, with action specified for Friday of the signal week.
  • Mean-reversion action waits until Friday of the week after the overextended oscillator has already recrossed its thresholds.
Entries in this reading3 entries

One-variable rules as a starting point

One-variable timing rules are framed as teaching starting points that may fit trending or range-bound regimes but are unlikely to remain effective in every market condition.

All three procedures are long-horizon timing designs, typically holding for many months or years, and were built and evaluated on weekly closes of a broad equity index. The moving average is the shared quantitative baseline. Trend-following and mean-reversion are the two timing procedures compared on that same weekly tape.

The lagged trend-following design

The trend-following design uses a 40-week simple moving average, a three-week average of that average, a five-week high, and a 10-week low of the weekly close. The moving average is the trend baseline. The three-week average of that average is a smoothed confirmation line.

A trend-following entry requires the weekly close to exceed both the smoothed 40-week average and the five-week high. An exit requires the weekly close to fall below both the smoothed 40-week average and the 10-week low. The procedure waits for price to confirm a prevailing direction before entering or exiting, and it accepts delayed signals.

Trend-following action is specified for Friday of the signal week and requires computing in advance the close that would trigger the rule. That weekday and that same-week confirmation belong to the execution calendar.

The thresholded mean-reversion design

The mean-reversion design measures a five-week average of the gap between the weekly close and a 55-week simple moving average, then acts when that oscillator recrosses stated thresholds. That smoothed gap is the overextended oscillator. Large departures from the long moving average are treated as extreme.

Mean-reversion entries occur when the smoothed oscillator moves from below -15 to above -15 or from below zero to above zero. Exits occur when it falls below -15, crosses from above zero to below zero, or crosses from above +50 to below +50.

Mean-reversion action is specified for Friday of the week after the triggering oscillator values have already printed. The extra week is part of the execution calendar.

Compare both designs on the same weekly tape

Both designs are long-horizon timing procedures on the same weekly index closes. They differ in what they wait for. Trend-following waits for the close to confirm the smoothed moving-average line and a recent five-week high or 10-week low. Mean-reversion waits for the overextended oscillator to recross fixed thresholds.

They also differ in the execution calendar. Trend-following is specified for Friday of the signal week, after the triggering close has been computed in advance. Mean-reversion is specified for Friday of the following week, after the oscillator values have already printed.

What the historical evaluation recorded

The historical evaluation spans 22 years through mid-1994 and records between 10 and 22 complete buy-and-sell cycles, with time invested ranging from 56.3% to 68.8% of the sample. Editorial reading: those figures describe how often the closed procedures completed a cycle and how much of the sample they spent invested. They are not a claim about present-day results.

Annual capital-gain returns of weekly S&P 500 timing rules

Both the lagged trend-following rule and the thresholded oscillator lose less than a buy-and-hold index stance in 1973–74 and sidestep most of 1987, which is why they finish ahead with far smaller drawdowns. The series are the capital-gain percentages printed in the source annual-return table for 1972 through mid-1994; dividends and idle-cash yield are omitted.
Both the lagged trend-following rule and the thresholded oscillator lose less than a buy-and-hold index stance in 1973–74 and sidestep most of 1987, which is why they finish ahead with far smaller drawdowns. The series are the capital-gain percentages printed in the source annual-return table for 1972 through mid-1994; dividends and idle-cash yield are omitted.S&P 500 · Weekly · 1972-01-01T00:00:00.000Z to 1994-12-31T00:00:00.000Z

1994 is January–June only; all three timers were on a sell at 30 June 1994. Returns are capital-gain only. The source also printed a prime-rate rule, omitted here so the chart matches the two weekly designs under evaluation.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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All readings on this track · 36 readings
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  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
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