2015issue C0336-41
Rule-based ETF rotation as one testable procedure
A published case study treated ETF portfolio construction as a mechanical plan. It classified the market regime, allowed Rank rotation only when confirming indicators agreed, and used relative-strength ranking with planned exits instead of buy-and-hold hope.
- After two large equity drawdowns in one decade, the case study framed ETF construction as a mechanical, rules-based alternative to passive stock ownership.
- Market regime classification came first. Rank rotation was allowed only when multiple confirming indicators agreed.
- Relative-strength ranking of a limited ETF universe selected holdings only after the regime filter permitted exposure.
- A personal loss threshold set before trading enforced planned exits, with the aim of keeping most of an uptrend and staying out of most of a downtrend.
A mechanical alternative to passive ownership
A published case study framed ETF portfolio construction as a mechanical, rules-based alternative to passive stock ownership after two large equity drawdowns in a single decade.
The case treated buy-and-hold as an untested hope rather than a complete procedure because it lacked predefined exits through historically large bear markets.
Regime first, then rank rotation
The procedure first used Market regime classification to decide whether the broad market was in an uptrend or a risk-off state.
It allowed Rank rotation only when multiple confirming indicators agreed.
Once the regime filter permitted exposure, relative-strength ranking of a limited ETF universe chose which holdings to own. Editorial reading: that ranking step is the Relative Strength Index method in this taxonomy, applied to the allowed ETF set.
A loss threshold set before trading
Risk tolerance was defined as a personal loss threshold set before trading, then enforced with planned exits rather than revised after prices fell.
The stated design goal was to keep most of an uptrend and stay out of most of a downtrend, accepting that the rules would lag a full bull-market average because of early exits and late entries.
Editorial reading: those three pieces are the point of the case. Market regime classification decides when exposure is allowed, Relative Strength Index ranking decides what to own, and the pre-set exit decides when to stand aside. Rank rotation is the procedure that holds those rules together so they can be tested as one plan.
All readings on this track · 38 readings
- 1987A mechanical rank-rotation sleeve for monthly fund leaders
- 1989Rank rotation in a five-name no-load sleeve
- 1990Cycle-tested five-year fund rank rotation
- 1991Blue-chip rank rotation by relative-strength-index slope
- 1992Currency rank rotation and intermarket timing
- 1992Rank rotation and relative strength for portfolio construction
- 1994MACD crossovers then short-horizon rank rotation
- 1994A comparable group-trend ledger from published ranks
- 1997Normalized yield rank rotation as a full portfolio procedure
- 1997Constructing an investor preference index from two capitalization-weighted series
- 1998Constructing anchored momentum from a centered average
- 2000Rank rotation, a stop-loss order, and Relative Strength Index in fund switching
- 2003A one-fund daily rank is a two-sleeve construction problem
- 2004Evaluate rank rotation only where persistence already exists
- 2004Sector fund rank rotation with regression and trailing stops
- 2006Evaluating equal-weight annual yield-rank rotation
- 2007Weekly preferred-symbol reselection for mechanical trend systems
- 2011Portfolio capacity and entry pacing for mechanical systems
- 2011Rank rotation as a testable ETF construction procedure
- 2011The inverse-Fisher stochastic is a forecast layer until the book rules can be disabled
- 2012An underwater stretch is a sizing test for rank rotation
- 2015Rule-based ETF rotation as one testable procedure
- 2015MACD crossover evaluation by trend rank rotation
- 2015Persistence and strength as one close-to-close switch
- 2015Evaluating rank rotation after a persistence screen
- 2016Evaluating an annual valuation rank rotation
- 2017A two-step yield and price rank rotation for a five-name sleeve
- 2018Smoothed volatility and the missing rank-rotation exit
- 2018A five-condition scorecard that ranks stocks and can refuse the trade
- 2018Small-cap growth sleeve eligibility with trend and rank rotation
- 2018Evaluating rank-rotation momentum across fund wrappers
- 2019Evaluating an annual equity-gold momentum rank rotation
- 2019Evaluating equity-gold momentum on funds versus indexes
- 2020How a signed comparative-strength oscillator is built for rank rotation
- 2020Which calendar clock changes a gold-versus-equity rotation test
- 2020Four-dimension relative strength as rank rotation
- 2020Portfolio construction as a ranked relative-strength problem
- 2020Two clocks for a Nasdaq put/call sleeve