product review velocity
What it checks
Amazon review count for a brand accelerates → the parent stock outperforms 1-2 months.
Mechanism
Amazon review-count 7d acceleration z > +1 → consumer-discretionary outperformance via revenue-surprise channel.
Signal rule
review acceleration z > +1 → long; universe: KO/WMT/TGT/COST/AAPL/NKE/LULU; hold 30/60d
Data dependencies
daily_pricesAdjusted-close OHLCV for every US-listed ticker; primary price feed.
amazon_reviewsWorker data table — see services/worker schema.
Expected edge
- Paper alpha
- 30-100 bps
- Paper window
- T+0 to T+60d
30-100 bps over 30-60d.
Example tickers where this is likely to fire
Illustrative only — the signal fires based on the live data, not a fixed list.
Related families
wsb attention alphaBehavioralApeWisdom aggregates daily mentions from r/WallStreetBets and adjacent retail subreddits. Two distinct sub-edges: (a) mention spike + uptrend → 2-5 day continuation (squeeze-setup tail, Cookson-Engelberg-Mullins 2023 RFS); (b) mention spike with no uptrend → 5-20 day mean-reversion (attention-tax tail, Da-Engelberg-Gao 2011 JF social-media extension). We use own-name 60d trend to route between the two regimes.
store traffic safegraphAlt-DataWeekly visits YoY +/-5% predicts SSS surprise for brick-mortar retail.
Explore product review velocity on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.