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1992issue C101-13

A semiconductor seasonal-index before the relative-strength overlay

A historical case used one semiconductor equity to isolate a seasonal-component, turn a seasonal-index into a month-resolution seasonal-trading-window, and only then overlay a relative-strength-index as a timing adjunct.

  • The case used one semiconductor equity rather than a basket or index so a seasonal pattern could be isolated in a single name.
  • A ratio-to-moving-average step leaves the seasonal-component with the irregular residual; a modified-mean is rescaled into a seasonal-index that averages 100.
  • Seasonal highs and lows were treated as month-span guides for a seasonal-trading-window, not as exact-day signals.
  • A 21-day relative-strength-index served only as a timing overlay, and names with strong growth were set aside because trend can overwhelm seasonality.
Entries in this reading3 entries

One semiconductor name, not a basket

The case used one semiconductor equity rather than a basket or index so a seasonal pattern could be isolated in a single name.

Seasonal analysis is applied to regularly repeating movements that last a year or less and arise from climate, economic activity, or customs.

Leave the seasonal-component in the residual

Each price is treated as the joint product of trend, cycle, seasonal, and irregular influences, so a four-quarter moving average is used to cancel trend and cycle and leave the seasonal-plus-irregular residual.

That ratio-to-moving-average step divides each observation by a centered multi-period average. Trend and longer cycles drop out, and the seasonal-component remains with the irregular residual.

Rescale like-period ratios into a seasonal-index

Twelve years of quarterly closes were used to build the quarterly seasonal-index, and the same span was used for a monthly index shown without the intermediate arithmetic.

After ratios are grouped by quarter, a modified-mean that drops the high and low values is rescaled so the four means sum to 400 and average 100.

The seasonal-index can be read as a year-round regime map with a neutral baseline of 100, not only as peak and trough dates.

A seasonal-trading-window at month resolution

The monthly seasonal-index built by the same procedure placed a seasonal high in May and a seasonal low in November.

Seasonal highs and lows were treated as month-span guides only, with chart markers placed arbitrarily inside those months so they are not read as exact-day signals. The implied seasonal-trading-window is a month-resolution interval for entry, exit, or stand-aside.

The seasonal table is framed as a year-round signpost for whether price is tracking or departing from seasonal tendency, not only as a pair of high and low dates.

Relative strength only as a timing overlay

A 21-day relative-strength-index, with readings below 30 treated as oversold and above 70 as overbought, was overlaid on daily charts from early 1989 through June 1992 as a timing adjunct to the seasonal map.

In this historical workflow the relative-strength-index is a bounded oscillator computed on a fixed lookback of ordered prices and used only as a timing overlay on the seasonal map.

When a growth trend overwhelms the calendar

Names with strong growth characteristics were set aside as weaker candidates because a dominant trend component can overwhelm cyclical and seasonal factors.

AMD first study year against the May–November window

After a February washout the tape grinds higher into year-end, so the May seasonal-high month arrives mid-uptrend and the November seasonal-low month arrives near the highs. A trader should treat the calendar residual as a map, not a trigger. Monthly waypoints were read from the daily Advanced Micro Devices candlestick pane; the lower pane held a 21-day relative-strength index with 30 and 70 guides that cannot share this price scale.
After a February washout the tape grinds higher into year-end, so the May seasonal-high month arrives mid-uptrend and the November seasonal-low month arrives near the highs. A trader should treat the calendar residual as a map, not a trigger. Monthly waypoints were read from the daily Advanced Micro Devices candlestick pane; the lower pane held a 21-day relative-strength index with 30 and 70 guides that cannot share this price scale.AMD · 1989, first year of the published daily AMD set · 1989-01-01T00:00:00.000Z to 1989-12-31T00:00:00.000Z

Low-resolution daily OHLC scan. Printed ticks of 50/60/70/80 are read as $5/$6/$7/$8 per share. Values are approximate monthly readings, not official session closes.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
5 of 21 in the Seasonal analysis track
19921-9 pp.Next on Seasonal analysisLock the holiday window as a regime, then veto resistanceA holiday-regime is a recurring tendency for prices to firm around exchange holidays, treated as a market-state backdrop rather than a stock-specific forecast.
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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