Wikipedia Attention Spike
In plain terms
Abnormal Wikipedia pageviews for a ticker predict a 2-week rally then a year-out reversal. Cleaner than Google Trends per Pyun 2024.
How it works
Da-Engelberg-Gao (2011 JF) "In Search of Attention" established that abnormal retail attention predicts a 2-week price run-up followed by a year-out reversal. Pyun (2024, SSRN 5172055) extends the work to Wikipedia pageviews and shows the Wiki signal dominates Google Trends in OOS tests — no rate limit, no normalisation-window confound, cleaner page identity per company. Signal is log(views / 90d median); long on >σ spikes for 2 weeks, short the reversal at 6 months when no earnings event explains the spike.
Live results
14 times picked on its own · 133 times inside a blend (128 beat the stock) · updated 2026-07-06Data dependencies
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
- Wikipedia pageviews
Wikimedia daily pageview counts joined to ticker pages.
Expected edge
- Tested over
- 2008-2022 (Pyun)
2-week long ~3%/month; 6-month short basket on attention-without-earnings
Example tickers where this is likely to fire
Illustrative only, the signal fires based on the live data, not a fixed list.
Related families
When Google searches for a ticker spike abnormally, retail piles in and pushes the price up for about two weeks. That attention-driven run-up then unwinds over the following six to twelve months, so the strategy rides the pop and later shorts the fade.
When the cost to borrow a stock spikes, shorts are paying premium to bet against it — usually a bearish signal, except at extremes where they get squeezed.
Explore Wikipedia Attention Spike on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.