reddit-sentiment

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:

1. Retry with sort=new instead of hot
2. If still empty, fall back to WebSearch: site:reddit.com/r/wallstreetbets {ticker} and extract post titles from search snippets. Record: wsb_fallback = "WebSearch"
3. 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