A Fast Way to Tell If a Market Actually Respects Its Seasonal.Chicago SRW Wheat FuturesCBOT_DL:ZW1!TradeVizionMost traders glance at a single seasonal curve, see a clean up-then-down shape, and assume the market will do the same again. Sometimes it will. Often it will not. The reason is simple: seasonal patterns drift. Old data carries the weight of decades-old market structure, one-off events, and conditions that no longer exist. So before putting any real conviction behind a seasonal trade, it is worth doing one quick visual check. The check, in one sentence If the last five years roughly match the full-history pattern, the market is respecting its seasonal. If the two curves disagree, the seasonal has shifted and should not be the reason you take the trade. How to do it in under a minute Open any seasonal indicator that lets you control how many years of history it uses. The example below uses an open source seasonal indicator (True Seasonal Pattern ). Add the indicator to the same pane twice. Set one copy to full history. Set the other to the last 5 years. Change the plot color on the second copy so the two lines are easy to tell apart. Compare the shapes: timing of peaks and troughs, direction through the year, where the seasonal turns. Reading the result Curves line up - the market has been consistent. The seasonal is a valid piece of evidence and can sit alongside your other tools (structure, trend, volatility, risk). Curves disagree - the recent behaviour has drifted from the long-term tendency. Treat the seasonal as not reliable right now. It is not "wrong", it is just not in force, and that is reason enough to step aside or rely on other tools. Markets that respect their seasonal pattern Lean Hogs is a textbook example. The 5-year trace and the full-history trace climb and fall at almost the same time each year, with the same summer high and the same late-year low. Two different windows of data, the same story. Seasonality here carries weight. RBOB Gasoline tells the same kind of story. The recent five years and the full history both build into a spring/summer peak and fade into winter. The shapes overlap so closely that the recent cycle could be drawn over the long-term curve and you would barely see two lines. Markets where the seasonal has drifted Wheat is the opposite picture. The 5-year curve and the full-history curve disagree on direction for large stretches of the calendar - where one is rising the other is often falling. The historical seasonal narrative is no longer being honoured. Trading the long-term pattern here would mean trading something the market has quietly stopped doing. Silver shows a similar mismatch. The two windows do not tell the same story, so the seasonal cannot do the heavy lifting in a setup. Why this matters A seasonal model is an average of the past. The further back the average reaches, the more it is shaped by conditions that may no longer exist. The 5-year vs full-history comparison is a cheap, visual sanity check that takes under a minute and quietly filters out the markets where the seasonal is no longer in force. It will not turn a bad setup into a good one. What it will do is stop capital from going into a "seasonal trade" in a market that has stopped honouring its own seasonal. That alone is worth the minute it takes. Educational content. Not financial advice. Past performance does not guarantee future results.