Apple Seasonality: A Historical Window, Tested More Carefully

This case study uses adjusted daily AAPL prices and completed calendar years from 2010 through 2025. The current year is excluded from every statistic.

Method before result

A disclosed algorithm scans fixed calendar windows only on 2010–2021 data. The 2022–2025 period remains untouched until after selection, so the later result cannot influence the chosen window.

What the data shows

The selected window is July 1–October 14 (105 days). The selection sample was very strong, but the independent period reduced the positive-year rate to 50%, showing why the later check matters.

Apple: consistency gave way to a split later sample

Apple's selected period had 11 positive years out of 12 before 2022. In the later four years, the positive-year rate fell to two out of four even though the median result remained positive. The key lesson is not that the window failed; it is that the apparent consistency was less durable once it faced unseen years.

For Apple, product launches, services growth, valuation changes, and the broader hardware cycle are all context that a historical calendar result cannot capture.

Independent check

The interactive chart separates annual open, high, low, and close outcomes. Review the held-out years as carefully as the historical selection period; a strong average does not make the next outcome predictable.

Research takeaway

This is historical context for Apple, not a recommendation. Explore AAPL seasonality, use Ticker Analysis, and read How to Read Backtests before relying on a headline statistic.