Steam Review Velocity Long
In plain terms
When the rate of Steam concurrency growth accelerates (proxy for review velocity), the publisher's stock outperforms over 2-4 weeks.
How it works
Sandvig-Larson 2016 + Liu 2006 documented that review *velocity* (reviews/day) drives entertainment-equity returns more strongly than the average rating. Per-day Steam-review counts not yet ingested — we proxy via peak-concurrency velocity (1d Δ peak_today smoothed 14d).
Data dependencies
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
- Steam top games concurrent
A data feed this strategy reads, refreshed on its normal schedule.
- Steam publisher ticker map
A data feed this strategy reads, refreshed on its normal schedule.
Expected edge
- Reported return
- 50-200 bps
- Tested over
- T+1 to T+20d
50-200 bps over 10-20d.
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 players flock to a publisher's live-service games (think GTA Online or Apex Legends), DLC and microtransaction revenue follows. We scrape SteamCharts daily, sum concurrent players across each publisher's portfolio, and rank publishers cross-sectionally on 30/90 surge.
If a new game loses more than half its players in the first 30 days, the publisher's upcoming earnings will likely miss. We track day-1 vs day-30 concurrent-player counts and short the publisher when a title fails to hold its launch audience.
When the Steam top-100 leans more heavily into a publisher's genre strength (think more action games for TTWO, more sports games for EA), that publisher's stock catches a bid. We classify games by keyword heuristics and track each genre's share of total concurrent players.
Explore Steam Review Velocity Long on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.