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1998issue C021-10

Constructing anchored momentum from a centered average

Ordinary momentum subtracts a single older price from the latest close. Anchored momentum pins that lookback to the end of a centered simple moving average, then uses the percentage form so different securities can be ranked on a common period.

  • Ordinary momentum is the latest price minus an older price over a chosen period, and the percentage form is 100 times that difference divided by the older price.
  • Anchored momentum starts at the end of a centered simple moving average and ends at the latest close, so the left end rides a smoother reference than a single older price.
  • When securities are ranked by percentage anchored momentum rather than percentage ordinary momentum, ranks change more gently and a ranking system is less likely to chatter through buy or sell triggers after past price bumps.
  • Most anchored momentum uses the longest allowed centered average and leaves only the momentum period free, which is easier to calculate and leaves less room to overfit in a trading system.
Entries in this reading3 entries

Ordinary momentum

Ordinary momentum is the latest price minus an older price over a chosen momentum period. The percentage form is 100 times that difference divided by the older price.

A complete momentum strategy, as used here, is an entry, exit and abstention procedure whose signal is a percentage-change momentum reading over a stated holding period. Percentage momentum with a common period is the form used to compare and rank different securities fairly.

A centered simple moving average

A simple moving average is centered by shifting it left by half its period so the plot is smoother than price, is not delayed relative to price, and ends short of the last bar.

That centered simple moving average is an ordered-price smoother used here as a centered simple-average reference. It can also be used later as an exponential smoother of the latest price.

Pin the lookback to the centered average

Anchored momentum starts at the end of a centered simple moving average and ends at the latest close, so the left end rides a smoother reference than a single older price. The reading is measured from the latest price back to a point on the centered average rather than to a single older close.

A mid-1996 comparison

On a mid-1996 NASDAQ composite example, a 10-day anchored reading was smoother than a 10-day ordinary reading and was not delayed relative to it.

In that same example, July price dips later inflated ordinary-momentum peaks in August, while the anchored reading stayed closer to contemporaneous index action.

NASDAQ Composite 10-day ordinary vs anchored momentum, June–December 1996

Anchored momentum stays smoother than ordinary 10-day momentum and does not reprint the mid-July NASDAQ air-pocket as a mid-August spike. Weekly and turning-point readings were taken from the indicator pane of the source Window on WallStreet plot (close 1291.03 on 31 December 1996).
Anchored momentum stays smoother than ordinary 10-day momentum and does not reprint the mid-July NASDAQ air-pocket as a mid-August spike. Weekly and turning-point readings were taken from the indicator pane of the source Window on WallStreet plot (close 1291.03 on 31 December 1996).NASDAQ Composite · daily · 1996-06-17T00:00:00.000Z to 1996-12-31T00:00:00.000Z

Both traces use a 10-session lookback. Ordinary momentum is the latest close minus the close 10 sessions earlier; most-anchored momentum subtracts the matching 21-day simple moving average. The source pane shows the raw point difference, not the percent form introduced later in the article. Digitized from a coarse raster and rounded to 5 index points.

The same reading as a rank rule

When securities are ranked by percentage anchored momentum rather than percentage ordinary momentum, ranks change more gently and a mutual-fund ranking system is less likely to chatter through buy or sell triggers after past price bumps.

Rank rotation, in this use, ranks securities by the same-period percentage momentum reading and trades only when rank crosses a trigger.

One variable or two

General anchored momentum has two variables, the momentum period and the centered-average period. Most anchored momentum uses the longest allowed centered average and leaves only the momentum period free.

The one-variable form is easier to calculate and, in a trading system, leaves less room to overfit. The two-variable form keeps a controllable amount of past-bump influence when that influence is judged useful.

Smoothing the latest price

Smoothing the latest price with a moving average removes remaining jaggedness at the cost of a little delay. Either form can take an exponential average of the latest price as an extra variable.

TradersWeek editorial

TradersWeek editorial: pinning the lookback to the centered average keeps one percentage reading that can be tested as a momentum strategy over a stated holding period, then reused as a rank-rotation rule that fires only when rank crosses a trigger. Choosing most anchored momentum leaves the momentum period as the main free choice.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
11 of 32 in the Rank rotation track
20001-4 pp.Next on Rank rotationRank rotation, a stop-loss order, and Relative Strength Index in fund switchingA weekly rank-rotation procedure used relative-strength percentage change versus a long lookback, an exponential average trend test, and allocation to the top names after gold and precious-metal funds were excluded.
All readings on this track · 32 readings
  1. 1987A mechanical rank-rotation sleeve for monthly fund leaders
  2. 1989Rank rotation in a five-name no-load sleeve
  3. 1990Cycle-tested five-year fund rank rotation
  4. 1991Blue-chip rank rotation by relative-strength-index slope
  5. 1992Currency rank rotation and intermarket timing
  6. 1992Rank rotation and relative strength for portfolio construction
  7. 1994MACD crossovers then short-horizon rank rotation
  8. 1994A comparable group-trend ledger from published ranks
  9. 1997Normalized yield rank rotation as a full portfolio procedure
  10. 1997Constructing an investor preference index from two capitalization-weighted series
  11. 1998Constructing anchored momentum from a centered average
  12. 2000Rank rotation, a stop-loss order, and Relative Strength Index in fund switching
  13. 2003A one-fund daily rank is a two-sleeve construction problem
  14. 2004Evaluate rank rotation only where persistence already exists
  15. 2004Sector fund rank rotation with regression and trailing stops
  16. 2006Evaluating equal-weight annual yield-rank rotation
  17. 2007Weekly preferred-symbol reselection for mechanical trend systems
  18. 2011Portfolio capacity and entry pacing for mechanical systems
  19. 2011Rank rotation as a testable ETF construction procedure
  20. 2011The inverse-Fisher stochastic is a forecast layer until the book rules can be disabled
  21. 2012An underwater stretch is a sizing test for rank rotation
  22. 2015Rule-based ETF rotation as one testable procedure
  23. 2015MACD crossover evaluation by trend rank rotation
  24. 2015Persistence and strength as one close-to-close switch
  25. 2015Evaluating rank rotation after a persistence screen
  26. 2016Evaluating an annual valuation rank rotation
  27. 2017A two-step yield and price rank rotation for a five-name sleeve
  28. 2018Smoothed volatility and the missing rank-rotation exit
  29. 2018A five-condition scorecard that ranks stocks and can refuse the trade
  30. 2018Small-cap growth sleeve eligibility with trend and rank rotation
  31. 2018Evaluating rank-rotation momentum across fund wrappers
  32. 2019Evaluating an annual equity-gold momentum rank rotation
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