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2014issue C0962-64

Price-rooted lookbacks for a relative strength index, a moving average, and a trend filter

Successive square roots of a traded level form a nested-square-root ladder of four period candidates. A relative strength index, a moving average, and a trend filter can take their lookback periodicity from that shared ladder.

  • Successive square roots of a market price can assign lookback lengths for a relative strength index, a moving average, and a trend filter.
  • Four nested square-root values are treated as a complete set of period candidates on a nested-square-root ladder.
  • The operative series and the remaining lookback periodicities change once the traded level sits above or below stated price thresholds.
  • Taking periods from the price itself is presented as a way to smooth how volatile the indicators look.
Entries in this reading3 entries

One shared clock from the traded level

The construction starts with the traded level. Successive square roots of that market price are taken until four values exist. Those four values are the nested-square-root ladder, and they are treated as a complete set of period candidates for lookback lengths on common indicators.

A relative strength index, a moving average, and a trend filter can then use that same ladder. The relative strength index is a momentum oscillator whose lookback can be taken from a nested square-root of the traded level instead of a conventional fixed count. The moving average is a smoother whose averaging window can be taken from the same nested-root ladder as the other filters in the set. The trend filter is a directional gate whose confirmation length can share that same price-derived period set.

Reading the nested-square-root ladder

Each integer window assigned from one of the nested roots is a lookback periodicity for an indicator.

A price near 17000 produces rounded nested roots of 130, 11, 3, and 2. A price near 1600 produces rounded nested roots of 40, 6, 3, and 2.

Choosing the operative series

The operative series is the price or first-root series the indicators actually measure once the level sits above or below the stated thresholds.

When the price is above 1526, the first square root can become the series the indicators act on, and the remaining roots become its periods.

At a whole-number price of 1600 or lower, the fourth nested root rounds to the same integer as the third. Below that 1600 threshold, the third nested root can be used twice, or the raw price can be used with the first three roots.

Smoothing the look of the indicators

Taking periods from the price itself is presented as a way to smooth how volatile the indicators look.

Nested-square-root lookback ladder from DJIA and S&P levels

Four successive square roots of a traded level become shared lookback periods. The article’s rounded table gives 130, 11, 3 and 2 from a DJIA-area print near 17,000, and 40, 6, 3 and 2 from an S&P-area print near 1,600. A trader should see the later roots converge, so both markets inherit the same short clocks even though their first-root periods are far apart.
Four successive square roots of a traded level become shared lookback periods. The article’s rounded table gives 130, 11, 3 and 2 from a DJIA-area print near 17,000, and 40, 6, 3 and 2 from an S&P-area print near 1,600. A trader should see the later roots converge, so both markets inherit the same short clocks even though their first-root periods are far apart.

The source rounded each root to a whole number. It also treats about 1,526 as a cutoff: above that print the first root is the operative series, while below it the fourth root rounds to the same integer as the third.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
25 of 33 in the Trend filter track
201540-44 pp.Next on Trend filterEvaluating next-session intermarket range forecastsA next-session range is a forecast of the following day's expected high and low, not a plot of prices that have already printed.
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
All 137 readings tagged Trend filter
Also on Trend filter5 readings