Joint Attention Spillover Reversal
In plain terms
Decompose a focal ticker's Wikipedia pageview attention spike into shared vs idiosyncratic components by co-movement with its TNIC-peer / sector cohort's pageview spikes on the same days.
How it works
Decompose a focal ticker's Wikipedia pageview attention spike into shared vs idiosyncratic components by co-movement with its TNIC-peer / sector cohort's pageview spikes on the same days. When a spike is largely SHARED (high joint, low idiosyncratic) the next 1-2 week return reverses (diffuse low-precision retail attention overshoots); idiosyncratic firm-specific spikes drift.
Live results
8 times picked on its own · 8 times inside a blend (8 beat the stock) · updated 2026-07-06Data dependencies
- Wikipedia pageviews
Wikimedia daily pageview counts joined to ticker pages.
- Tnic peers
Hoberg-Phillips text-based industry classification peer lists (annual).
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
Expected edge
- Tested over
- Modern daily equity data
behavioral premium; decay risk 3/5.
Example tickers where this is likely to fire
Illustrative only, the signal fires based on the live data, not a fixed list.
Related families
Explore Joint Attention Spillover Reversal on alphactor.ai
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