Amazon Seasonality: A Historical Window, Tested More Carefully

This case study uses adjusted daily AMZN 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 March 25–July 23 (120 days). The held-out period retained a 75% positive-year rate, while one substantial weak year keeps the distribution from being treated as a simple signal.

Amazon: frequency held up, but dispersion stayed wide

Amazon retained three positive years out of four in the independent sample, yet the test period included a -25.7% outcome. This makes the story less about a clean seasonal edge and more about the difference between frequency and path risk.

Retail calendar events, Prime Day timing, consumer demand, AWS growth, and earnings expectations can all influence this period. The historical window is a starting point for those questions, not a substitute for them.

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 Amazon, not a recommendation. Explore AMZN seasonality, use Ticker Analysis, and read How to Read Backtests before relying on a headline statistic.