| # | Ticker | Mentions | Velocity | Rank Δ | Bull/Bear |
|---|---|---|---|---|---|
| Loading universe… | |||||
Methodology · Retail Sentiment
Two complementary data feeds:
• ApeWisdom: aggregates mention counts of every ticker mentioned across r/wallstreetbets, r/stocks, r/investing, and other public subreddits. Updates continuously.
• StockTwits: per-ticker message streams where users self-tag posts Bullish or Bearish. We pull the last 30 messages for each of the top 25 most-mentioned tickers and compute a bull/bear ratio.
The alpha isn't absolute mention count — it's velocity. A name jumping from #50 to #5 with 10× mentions vs 24h ago is far more actionable than the persistent #1 (already priced in). We compute both velocity_pct = (mentions_now − mentions_24h_ago) / mentions_24h_ago and rank_climb = rank_24h_ago − rank.
Subreddit divergence matters. A name that's #1 on WSB but absent from r/stocks is likely a pure-meme play. A name that shows up on both is consensus retail interest with more durable momentum.
Regime classification: MANIA (total mentions >15k or +80% vs prior) · ELEVATED (>8k) · NORMAL · QUIET (<3k).
Limitations: StockTwits sentiment is self-tagged so only a fraction of messages have it (typically 25-40%). The bull/bear ratio is most meaningful at extremes.
Refresh: every 30 minutes around the clock — retail is global, doesn't pause at US close.