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1998issue C061-8

Seasonal system construction without curve-fitting

A trading system is a complete set of mechanical buy and sell rules plus money-management limits. The archive construction combines calendar windows, the Presidential election-year cycle, and a Treasury-yield comparison, and it treats twelve monthly buckets as extra curve-fitting risk.

  • A trading system is a complete set of mechanical buy and sell rules based on predefined indicator or price values, plus stop-loss, position-size, and overall risk limits.
  • Seasonal trading is a complete set of mechanical entry, exit, and cash-or-leverage rules driven by calendar windows rather than discretionary market commentary.
  • Splitting history into twelve monthly buckets raises curve-fitting risk relative to a two-season November to April versus May to October split.
  • Change one exposure or parameter at a time and watch the full historical path, including July leveraged and February in cash as the notable exceptions to a best-six-month approach.
Entries in this reading3 entries
Current trackSeasonality analysis65 readingsSeasonal trading90 readingsSystem optimization93 readings

This article restates a historical workflow for building a seasonal trading system. Archive facts describe that workflow. TradersWeek editorial comments are labelled and are not archive claims.

Write the full rule set

A trading system is a complete set of mechanical, strict buy and sell rules based on predefined indicator or price values. A complete system is also described as needing money-management provisions such as stop-loss criteria, position-size scaling, and overall risk limits.

Those provisions belong in the same specification as the calendar windows. Seasonal trading is a complete set of mechanical entry, exit, and cash-or-leverage rules driven by calendar windows rather than discretionary market commentary.

Combine calendar, cycle, and yield filters

The illustrated construction combines seasonality, the Presidential election-year cycle, and the 30-year Treasury yield versus its six-month moving average.

Data should be collected in the intended trading timeframe. Monthly data back to 1950 are used as the working example.

Place one trade in a calendar regime

Seasonality analysis compares multi-decade monthly or half-year market behavior so a single trade sits in a recurring calendar regime instead of the last few outcomes.

The archive states that virtually all major corrections in the examined history occurred during the May to October window. That window is set against November to April in a two-season split.

Watch the full path when you change one input

System optimization means changing one exposure or parameter at a time and watching the full historical path, while treating extra partitions as extra curve-fitting risk. Splitting history into twelve monthly buckets raises curve-fitting risk relative to a two-season November to April versus May to October split.

The month-by-month exposure table is presented as a derivative of a best-six-month approach, with July leveraged and February in cash as the notable exceptions.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
12 of 41 in the Seasonality analysis track
19991-4 pp.Next on Seasonality analysisCrowd life cycle as a market regime mapA life-cycle crowd model places one trade inside a broader market-regime context rather than treating price as an isolated signal.
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 fieldSystem design130 readingsBy year199860 readings
All 65 readings tagged Seasonality analysis
Also on Seasonality analysis5 readings
1989Weekday price paths are regime-dependent1990Calendar windows as testable index-futures procedures1991A thirty-name price-weighted average as a seasonal regime classroom1996Evaluating presidential party terms as equity regimes1996Nested calendar clocks in long-bond futures