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Recurring series

Reading the Data

Long-window patterns in market data, tested without the narrative.

Seasonality, day-of-week effects, cycle lengths, drawdown distributions, valuation regime histories. We test the patterns the financial media talks about, against the data, across the longest series we can find. Some patterns hold up. Some do not. Each issue covers one specific question with the empirical answer and the editorial context.

Cadence

Roughly monthly; aligned to the data refresh cycle of whichever series the issue covers.

What to expect each issue
  • The question being tested — written so a non-quant reader understands what's at stake.
  • The data set and methodology in plain English.
  • The result with charts where the chart adds information.
  • What the result does and does not change about how a long-horizon investor should think.
Companion publication
S&P 500 Seasonality

The first long-form data-tested piece in this style. Reading the Data continues the format with new questions each month.

Issues in this series

0 issues

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Reading the Data launches with its first issue at the next scheduled publication window. Get it in your inbox the moment it lands.

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Educational research from Advising Alpha. Not investment advice. Full disclaimer at advisingalpha.com/disclaimer.