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2002issue C121-3

Evaluating the weekly four-percent close filter as a market-state procedure

Once the percent threshold, the weekly sampling interval, the stance mode, and the fixed-share-unit are frozen, a weekly-percent-change-switch is a complete, testable trend-filter. Editorial: read that stance as a market-state overlay that can sit beside a moving-average baseline, not as a finished profit engine.

  • A weekly-percent-change-switch becomes a testable mechanical-trading-system only after the percent threshold, the weekly sampling interval, the stance mode, and the fixed-share-unit are frozen.
  • The same weekly close rule can run in long-only-mode, which moves to cash on a sell, or in long-and-short-mode, which reverses on each opposite signal.
  • An annual-reset starts each calendar year at the first new buy or sell signal and omits prior-year balances, except for a separate three-year cumulative series.
  • Editorial: treat the filter as a market-state read across the Nasdaq 100, the S&P 500, and the Dow industrials, and keep a moving-average as a companion baseline rather than as the primary switch.
Entries in this reading3 entries

What the weekly switch classifies

The subject rule is presented as an always-in-the-market trend-filter applied to weekly closes. It is a weekly-percent-change-switch: a long signal fires when the latest weekly close is at least four percent above the prior weekly close, and a sell or reverse signal fires when the latest weekly close is at least four percent below.

A trend-filter classifies ordered price observations into an up or down regime over a stated sampling interval and lookback. Here the sampling interval is the weekly close, and the lookback is the prior weekly close.

Freeze the free choices

Editorial: the switch is not yet a complete mechanical-trading-system until every free choice is frozen. Freeze the four percent threshold, the weekly sampling interval, long-only-mode or long-and-short-mode, and a fixed-share-unit that trades the same share count on every signal.

A mechanical-trading-system is a fully specified procedure that turns rule inputs, market state, and execution constraints into entry, exit, or abstention signals. After those items are fixed, the resulting stance can be tested as one procedure.

Two ways to handle a sell

The same mechanical-trading-system can be run in long-only-mode by moving to cash on a sell, or in long-and-short-mode by reversing on each opposite weekly signal. Long-only-mode exits to cash instead of opening a short position. Long-and-short-mode stays in the market by reversing from long to short, or short to long, at each opposite signal.

Study cuts and listed vehicles

The post-2000 Nasdaq 100 test used a fixed 100-share unit and required 20000 in cash or cash-plus-margin purchasing power at the 2000 start. That fixed-share-unit does not resize with price or equity.

Each annual study uses an annual-reset. It starts at that year’s first buy or sell signal and omits prior-year balances, except for a separate three-year cumulative series.

The 1985 to 2000 extension applied the same filter to the S&P 500, the Dow Jones Industrial Average, and the Nasdaq, rather than to the earlier Value Line composite window. After 2000 the filter is concentrated on the Nasdaq 100 tracker because that index offered listed vehicles including the fund, options on the fund, and e-mini futures.

The 2002 Nasdaq 100 path is reported only through 30 August. That year is described as having produced slightly more than half as many trades as each of the prior two years.

A market-state overlay beside a moving-average

The archive write-up treats the filter more as a market-state read across the Nasdaq 100, the S&P 500, and the Dow industrials, to be combined with companion models such as moving averages, than as a self-contained mechanical strategy.

A moving-average is a smoothing of ordered price observations over a defined lookback, used here as a companion baseline rather than as the primary switch. Editorial: keep the moving-average in that companion role and keep the weekly filter as a market-state overlay.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
13 of 33 in the Trend filter track
20031-5 pp.Next on Trend filterConstructing a confirmed zigzag trend filterA standard zigzag can rewrite its last swing if a reversal never reaches the user-set threshold, so last-leg direction is not a stable input for mechanical tests.
All readings on this track · 33 readings
  1. 1988Opening-range brackets, a two-bar trend filter, and bounded stops
  2. 1990Bezier-curve price trend filter
  3. 1992Constructing a damping-index trend filter
  4. 1992Building a random walk index trend filter
  5. 1992Phase diagrams for moving-average trend filters
  6. 1993Volume-weighted change smoothing and trend ranking
  7. 1993Concurrent highest-low filter with a largest-low-fall trigger
  8. 1994Unit-invariant trend filters and the c-test
  9. 1995Constructing cup and cap entries with a three-bar net line
  10. 1997Why a daily timing evaluation depends on interval, lookbacks, and the fitting objective
  11. 2001A volume budget clock for trend-segment construction
  12. 2001Keep three jobs separate when you test a composite score
  13. 2002Evaluating the weekly four-percent close filter as a market-state procedure
  14. 2003Constructing a confirmed zigzag trend filter
  15. 2004Decompose high, low, and close into separate forecast streams
  16. 2005Three-state moving-average breakout bar coloring
  17. 2005Constructing a volume and move-adjusted trend filter
  18. 2005A fifty-day average breakout as a trend permission filter
  19. 2005Current-bar inclusion can mute a stochastic channel break
  20. 2006A stochastic oscillator gated by a long-term exponential average
  21. 2010A construction test for a modified volume-price trend filter
  22. 2011Constructing a Spearman rank trend filter
  23. 2013Constructing a repeated-median slope as a resistant trend filter
  24. 2014Combining a relative-strength index and trend filters for oversold setups
  25. 2014Price-rooted lookbacks for a relative strength index, a moving average, and a trend filter
  26. 2015Evaluating next-session intermarket range forecasts
  27. 2018Read the intermarket weight matrix first, then the predicted moving-average filter
  28. 2018Constructing the stiffness trend filter from moving-average holds
  29. 2018The averaging kernel and the lagged trend gate are separate specifications
  30. 2019A trend filter is not ready to compare until portfolio constraints are written down
  31. 2019Lookback, threshold, and position-capacity for a stiffness trend-filter
  32. 2020Combining a trend filter with a moving average and a stochastic oscillator
  33. 2020Constructing a relative-strength oscillator with a rank-agreement trend filter
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