| name | reddit-sentiment |
| description | This skill should be used when the user asks about Reddit sentiment, WallStreetBets opinion, r/stocks discussion, retail investor sentiment, social media sentiment on Reddit, what Reddit thinks about a stock, or whether Reddit is bullish or bearish on a ticker.
|
Reddit Sentiment Analysis
Purpose
Fetch top posts mentioning a ticker from r/wallstreetbets and r/stocks (past 24 hours),
score post titles for sentiment using engagement weighting, and produce a Reddit channel
score from -10 to +10.
Step 1 — Resolve Ticker and Company Name
Confirm both ticker and company name via WebSearch if needed.
Step 2 — Fetch r/wallstreetbets
WebFetch with required header User-Agent: sentiment-analysis-skill/1.0:
https://www.reddit.com/r/wallstreetbets/search.json?q={ticker}&sort=hot&t=day&limit=15&restrict_sr=1
If the response is empty, has fewer than 3 posts, or returns a redirect/login page:
- Retry with
sort=new instead of hot
- If still empty, fall back to WebSearch:
site:reddit.com/r/wallstreetbets {ticker}
and extract post titles from search snippets. Record: wsb_fallback = "WebSearch"
- If WebSearch also yields nothing, set
wsb_available = false
Extract per post: title, score (upvotes), upvote_ratio.
Step 3 — Fetch r/stocks
Same process for:
https://www.reddit.com/r/stocks/search.json?q={ticker}&sort=hot&t=day&limit=15&restrict_sr=1
Same retry/fallback sequence. Set rstocks_available = false if all fail.
Step 4 — Score Posts
For each post:
Engagement weight = upvote_ratio × log(max(score, 0) + 1)
If score <= 0, max(score, 0) + 1 = 1, so log(1) = 0 — downvoted posts get zero weight.
If all posts in a subreddit have weight 0, use unweighted average instead.
Sentiment score (-1.0 to +1.0 per title):
- 🚀 rocket emoji, "moon", "calls", "YOLO", "to the moon" → bullish (+0.6 to +1.0)
- "puts", "crash", "overvalued", "short squeeze" (as threat) → bearish (-0.6 to -1.0)
- "DD" posts, questions, neutral analysis → score on content (−0.3 to +0.3)
- WSB irony ("this is not financial advice", "loss porn") → near 0.0
Weighted average per subreddit:
weighted_avg = sum(sentiment_i × weight_i) / sum(weight_i)
subreddit_score = weighted_avg × 10
Top 3 posts per subreddit = the 3 posts with the highest engagement weight
(popularity signals community conviction on Reddit; not highest absolute sentiment).
Step 5 — Compute Reddit Channel Score
reddit_score = (wsb_score + rstocks_score) / 2
If one subreddit is unavailable, use the other's score directly.
If both are unavailable, set reddit_available = false.
Step 6 — Output
REDDIT SENTIMENT RESULT
Ticker: {ticker}
Reddit Channel Score: {reddit_score} / 10
WSB Score: {wsb_score} / 10 ({wsb_post_count} posts) [or "Unavailable"]
r/stocks Score: {rstocks_score} / 10 ({rstocks_post_count} posts) [or "Unavailable"]
Signal: {label per signal bands below}
Fallback Notes: {any fallbacks triggered, or "none"}
Top WSB Posts (by engagement weight):
1. [↑{upvotes} | {upvote_ratio}] "{title}" → {Bullish | Neutral | Bearish}
2. ...
3. ...
Top r/stocks Posts (by engagement weight):
1. [↑{upvotes} | {upvote_ratio}] "{title}" → {Bullish | Neutral | Bearish}
2. ...
3. ...
Signal bands (applied to reddit_score):
- score >= +7.0 → Very Bullish
- score >= +3.0 and < +7.0 → Bullish
- score > -3.0 and < +3.0 → Neutral
- score <= -3.0 and > -7.0 → Bearish
- score <= -7.0 → Very Bearish
