Skip to main content
Track Seasonality analysis
28 / 41
Search the archiveLibrary
Library

2013issue C0152-62

Pair-sleeve rotation as a two-state sector regime-switch

The archive follows leveraged bull and inverse ETF pairs as complementary pair-sleeves. When a short moving average turns against the held sleeve, the documented path is the opposite pair-sleeve or cash-default, not a fresh directional bet.

  • On September 25, 2012 the 10-day moving averages on TECL and TECS turned together, marking a short-horizon regime-switch across both technology pair-sleeves.
  • A parallel oil-and-gas pair uses DIG and DUG, with Exxon Mobil named as one primary sector influence and a sector-leader-check used before staying with a sleeve.
  • The case tracks 10 ETF pairs so one pair-sleeve can be used when the related market pulls back, with cash-default when neither sleeve shows a usable trend.
  • Stop-losses are treated as essential on stocks, bonds, or commodities, which this editorial reading treats as a bounded-exit if the regime-switch is late or false.
Entries in this reading3 entries
Current trackSeasonality analysis65 readingsIntermarket analysis143 readingsStop-loss order160 readings

A pair as a two-state switch

The documented technology pair is the 3x bull and 3x bear combination TECL and TECS. Those pair-sleeves are described as more volatile than 1x or 2x sleeves because of leverage. A parallel oil-and-gas pair is presented as DIG on the bullish side and DUG on the inverse side, with Exxon Mobil named as one primary sector influence.

Editorial interpretation: treat the leveraged ETF pair as a two-state market-regime switch. When one pair-sleeve loses its short-horizon trend, cash-default or the opposite sleeve is the standing choice, not a new directional bet.

The September 2012 technology flip

On September 25, 2012, the 10-day moving average on TECL turned from up to down, marking a short-horizon regime-switch on the bullish technology pair-sleeve. On the same date, the 10-day moving average on TECS turned from down to up, so the inverse pair-sleeve flipped with the bullish sleeve.

Daily TECL chart context around February 7, 2012 shows price 71.07 against a 10-day moving average of 47.54. That contrast is used to illustrate visible trend-change zones on the bullish technology pair-sleeve.

Oil-and-gas pair-sleeves

Daily DIG chart context around November 7, 2012 shows price 52.68 against a moving average of 46.25 on the bullish oil-and-gas pair-sleeve. Daily DUG chart context around October 11, 2012 shows price 29.97 against a moving average of 20.41 on the inverse oil-and-gas pair-sleeve.

Ten pairs, confirmation, and a bounded-exit

The case tracks 10 ETF pairs, each built so one pair-sleeve can be used when the related market pulls back. Sector-leader price action, such as Apple and Google for technology, is used as a sector-leader-check before staying with the matching pair-sleeve.

Stop-losses are treated as essential on stocks, bonds, or commodities so an unexpected cycle reversal does not leave exposure unbounded. Editorial interpretation: that rule is a bounded-exit that caps loss if the regime-switch signal is late or false, and cash-default applies when neither pair-sleeve shows a usable trend.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
28 of 41 in the Seasonality analysis track
201338-41 pp.Next on Seasonality analysisLunar phase as a seasonal overlay on implied volatilityAfter price-only checks on equities, currencies, and commodities had looked inconsistent, the case study compared a listed implied-volatility-index, using history from 1990, with new-moon and full-moon dates.
All readings on this track · 41 readings
  1. 1989Evaluating venue volume as a speculation-breadth signal
  2. 1991A thirty-name price-weighted average as a seasonal regime classroom
  3. 1991Ranked half-year rate changes as an equity signal filter
  4. 1991Demographic wave as a market-regime overlay
  5. 1994Seasonal range regimes as a futures context overlay
  6. 1996Evaluating presidential party terms as equity regimes
  7. 1996A dominant cycle is a baseline, not a reprint
  8. 1996Seasonality and presidential election cycle regimes
  9. 1997Stacking calendar regimes around election years
  10. 1997Calendar seasonality as a testable trading procedure
  11. 1997Lunar phase delay as a testable seasonal regime
  12. 1998Seasonal system construction without curve-fitting
  13. 1999Crowd life cycle as a market regime map
  14. 2001Regime-dependent cycle timing after four-year and seasonal lows
  15. 2002A 2002 case study in regime-first seasonal selection
  16. 2002Seasonal windows and dominant-cycle rules
  17. 2002Fifty-four-year wholesale cycle as an inflation-deflation regime map
  18. 2004The championship conference rule as a yearly regime case study
  19. 2004Election-year seasonality as trade regime context
  20. 2006Two-ten inversion as an intermarket regime filter
  21. 2006Midterm-to-presidential seasonal holding window
  22. 2008Two-layer equity regimes from seasonality and price history
  23. 2008Seasonal futures as a regime filter, not a calendar rule
  24. 2008Retesting seasonal rules when regimes change
  25. 2010Corn and wheat staggered calendars as dollar-neutral seasonal spreads
  26. 2011Name the S&P 500 trend regime before using weekly and monthly seasonality
  27. 2012Seasonal windows that wait for confirmation
  28. 2013Pair-sleeve rotation as a two-state sector regime-switch
  29. 2013Lunar phase as a seasonal overlay on implied volatility
  30. 2013Soybean seasonal highs in a five-year carryover regime
  31. 2014Year-end tax-loss selling as a seasonal regime
  32. 2017Calendar-window overlays that mute mechanical signals without rewriting the system
  33. 2017A four-year cycle and volume case study of a secular bear
  34. 2017Treat the valuation climate as climate and implied-volatility extremes as weather
  35. 2019Seasonal depth versus tracking for futures position sizing
  36. 2019Stacking cycle forecasts with seasonal regimes
  37. 2019Hit-rate gates for seasonal regime evaluation
  38. 2019July to October as a seasonal window, not a reason to own the name
  39. 2020A recession-regime checklist from valuation stretch and the yield curve
  40. 2020Treat a seasonal idea as a stay-or-sit holding procedure
  41. 2020A single position as a sleeve on a seasonal regime map
By fieldIntermarket and spreads162 readingsBy year2013106 readings
All 65 readings tagged Seasonality analysis
Also on Seasonality analysis5 readings
1991Ranked half-year rate changes as an equity signal filter1992Construct a bond-led dividend-to-bond-yield regime first1994Extreme short-rate declines as equity regime context1994Gold as a cycle clock for commodities and yields1995Read one equity position on a joint yield-regime card