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2019issue C1346

Calendar rotation of seasonal and regime questions

A 2019 compilation arranged a January-through-December sample of 2018 short-horizon market commentaries. An editorial reading treats that year as a case study in how seasonal and regime questions rotate, so a single trade sits inside a weeks-to-months sequence rather than inside one note.

  • A 2019 compilation presented a month-ordered sample of 2018 short-horizon market commentaries spanning January through December.
  • Early-year entries included a presidential-cycle framing of equity markets, while several spring titles clustered around crash, bottom-finding, support-versus-breakdown, and death-cross language.
  • Later titles mixed seasonal-pattern language with yield-curve diagnosis and intermarket foreign-exchange framing, and a late-year entry treated stock-market seasonal patterns as a standalone topic.
  • Editorial reading: use seasonal analysis to park any single trade inside that weeks-to-months rotation rather than treating each note as a standalone call.
Entries in this reading1 entry

A year of notes, in month order

A 2019 compilation presented a month-ordered sample of 2018 short-horizon market commentaries spanning January through December. The archive facts describe that historical workflow: a full-year stack of brief market notes, not a single isolated call.

Seasonal analysis means reading calendar-linked and repeating market patterns to place a trade in a weeks-to-months context. A market regime is a temporary backdrop defined by trend, volatility, carry, and cross-market alignment rather than by a single price print.

How the questions rotated

Early-year entries in that sample included a presidential-cycle framing of equity markets. A presidential cycle is a multi-year political calendar used as one overlay when asking which equity regime is in force. The same yearly sample also revisited a long-wave k-wave cycle frame. A k-wave is a long-wave cycle frame used to ask whether current price action sits in an expansion or contraction phase.

Several spring 2018 titles clustered around crash, bottom-finding, support-versus-breakdown, and death-cross language. A death-cross is a widely watched moving-average crossover treated as a possible shift from a constructive to a defensive regime.

Later titles mixed seasonal-pattern language with yield-curve diagnosis and intermarket foreign-exchange framing. A late-year entry treated stock-market seasonal patterns as a standalone commentary topic. A yield-curve diagnostic uses the shape of interest-rate relationships as a cross-market check on growth, risk, and carry regimes.

Cross-market subjects beside those frames

Cross-market subjects appearing beside those regime frames included gold, natural gas, U.S. small-cap leadership, interest-rate breakout questions, and a U.S.-China trade-policy heading.

Editorial reading: those headings sit beside the regime questions rather than replacing them. The sequence still runs from cycle overlays, through spring crash-versus-support language, to later seasonal-pattern and yield-curve checks. That is the weeks-to-months context in which any one note should be parked.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
20 of 21 in the Seasonal analysis track
202060-64 pp.Next on Seasonal analysisConstructing calendar interval votes for cycle workbooksA reconstruction worksheet can sit a stochastic oscillator series beside matching per-bar interval-vote values so the stack can be inspected bar by bar.
All readings on this track · 21 readings
  1. 1986Two gates for setup and operator readiness
  2. 1990Time-only cycle dates in a Treasury bond case study
  3. 1990Constant-dollar regimes, the value line, and nested cycles
  4. 1992The four-year election cycle as an equity regime map
  5. 1992A semiconductor seasonal-index before the relative-strength overlay
  6. 1992Lock the holiday window as a regime, then veto resistance
  7. 1995Regime-aware stock screening with intermarket context
  8. 1996Standard-error bands, width gates, and weekday counts
  9. 1999Constructing seasonal factors from centered moving averages
  10. 2000Seasonal window, then weekly breadth
  11. 2004Copper as a regime map for cycles and recessions
  12. 2008Election-cycle windows as a mechanical seasonal system
  13. 2012A 2012 case study in Kondratieff-wave and presidential-cycle overlays
  14. 2012The October to May window as a mechanical portfolio procedure
  15. 2013Half-year seasonality as an equity regime overlay
  16. 2014Seasonal cycles as a regime overlay
  17. 2015Seasonal oil window as a defined-risk spread case
  18. 2017Calendar regimes, RSI events, and sector rotation rules
  19. 2018Seasonal windows as testable entry and abstention rules
  20. 2019Calendar rotation of seasonal and regime questions
  21. 2020Constructing calendar interval votes for cycle workbooks
All 54 readings tagged Seasonal analysis
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