Sentiment Report

Sentiment Report

Purpose

User-invocable skill (/sentiment-report) that dispatches all three sentiment data channels in parallel using the Agent tool, synthesizes a composite score, and formats the full report with a data source log.

Step 1 — Resolve Ticker and Company Name

Confirm ticker and company name via WebSearch if needed. Record the current UTC timestamp for the report header.

Step 2 — Dispatch Three Skills in Parallel

Use the Agent tool to run all three simultaneously:

• Invoke news-sentiment for the ticker
• Invoke reddit-sentiment for the ticker
• Invoke stocktwits-sentiment for the ticker

Do NOT proceed to Step 3 until all three have returned results.

Step 3 — Collect Channel Scores

From each skill output, extract:

• news_score, article_count, news_source, low_volume_warning, key_headlines
• reddit_score, wsb_score, rstocks_score, wsb_post_count, rstocks_post_count, top_wsb_posts, top_rstocks_posts, fallback_notes
• stocktwits_score, bullish_count, bearish_count, total_labeled, sample_bullish, sample_bearish
• Availability flags from each skill

Step 4 — Compute Composite Score

Base weights: News 45%, StockTwits 30%, Reddit 25%

Re-normalize if a channel is unavailable (null score). Adjust weights so they sum to 1.0 across available channels only:

composite = (news_score × w_news) + (stocktwits_score × w_st) + (reddit_score × w_reddit)

If fewer than 2 channels have data: Do not compute a composite. Output "⚠️ Insufficient data to compute composite score" and show available channel results individually.

Step 5 — Determine Score Label

Apply the standard signal bands to the composite score:

• = +7.0 → Very Bullish

• = +3.0 and < +7.0 → Bullish

• -3.0 and < +3.0 → Neutral

• <= -3.0 and > -7.0 → Bearish
• <= -7.0 → Very Bearish

Step 6 — Build ASCII Progress Bar

Scale composite (-10 to +10) onto a 20-character bar:

• Use █ for filled blocks, ░ for empty
• The center 10 characters represent 0. Positive scores fill right; negative fill left.
• Append the numeric score: {bar} ({composite_score})

Examples:

• Score +8.0: ░░░░░░░░░░████████░░ (+8.0)
• Score -5.0: ░░░░░█████░░░░░░░░░░ (-5.0)
• Score 0.0: ░░░░░░░░░░░░░░░░░░░░ (0.0)

Step 7 — Format Full Report

Present the report in this exact structure:

## Sentiment Analysis: {TICKER} — {Company Name}
*Last 24 hours · As of {UTC timestamp}*

### Composite Sentiment Score

**{composite_score} / 10 — {Label}**

{ASCII bar}

[If total sources < 5: ⚠️ Low data volume ({n} total sources) — composite may not be representative.]

### Channel Breakdown

| Channel | Score | Signal | Volume | Notes |
|---------|-------|--------|--------|-------|
| News | {news_score} | {label} | {n} articles | {top source domains} |
| StockTwits | {st_score} | {label} | {total_labeled} labeled | {bullish}/{bearish} ratio |
| Reddit (WSB) | {wsb_score} | {label} | {n} posts | avg ↑{avg_upvotes} |
| Reddit (r/stocks) | {rs_score} | {label} | {n} posts | avg ↑{avg_upvotes} |

(Use "N/A" in Score column for unavailable channels; explain in Notes)

### Key Headlines (past 24h)

- [{score}] "{title}" — {source}
- [{score}] "{title}" — {source}
- [{score}] "{title}" — {source}

### Notable Reddit Posts

- [WSB · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [WSB · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [r/stocks · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [r/stocks · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}

### StockTwits Sample

- 🟢 Bullish: "{sample_bullish_message}"
- 🔴 Bearish: "{sample_bearish_message}"

---

### Data Source Log
- **News:** {NewsAPI (key configured) | WebSearch fallback} · {n} articles · {domain breakdown}
- **Reddit WSB:** {Direct JSON | sort=new retry | WebSearch fallback | Unavailable} · {n} posts
- **Reddit r/stocks:** {Direct JSON | sort=new retry | WebSearch fallback | Unavailable} · {n} posts
- **StockTwits:** {Direct API | Unavailable} · {total_labeled} labeled messages

---
*For informational purposes only. Not financial advice. Sentiment scores derived
from public sources and AI analysis. Verify independently before making investment decisions.*