News Feed
Article feed with AI relevance scores, sentiment icons, and news routing tiers.
On this page (6)
The News tab on each instrument page shows a curated article feed for that instrument. Articles are ranked by an AI relevance model that scores them against the specific instrument's entity context — not just keyword matching.
Article card anatomy
Each article card shows:
- Headline — linked to the original source
- Source and publication time (relative, e.g. "3 hours ago")
- Relevance score — 0–100, shown as a colored bar
- Sentiment icon — positive, negative, or neutral
- Routing tier badge
- Entity tags — up to 3 extracted named entities
Relevance scoring
Relevance scores are computed by a two-stage model:
- Market routing score — based on entity co-occurrence and relationship distance in the knowledge graph (e.g., a direct mention scores higher than a supplier mention)
- LLM relevance score —
meta-llama/Meta-Llama-3.1-8B-Instructscores the article title against the entity's description (0–1 scale) - Display score — a weighted blend:
0.5 × market + 0.4 × llm + 0.1 × routing_tier_weight
Score interpretation
A score of 80+ means the article is highly specific to this instrument. Scores 50–80 indicate relevant context (sector news, related company). Scores below 50 are broad market articles where this instrument was a passing mention.
Sentiment icons
| Icon | Meaning |
|---|---|
| Green upward arrow | Positive sentiment — bullish framing, beat expectations, upgrade |
| Red downward arrow | Negative sentiment — bearish framing, miss, downgrade, legal issue |
| Gray dash | Neutral — factual update, routine announcement |
Sentiment is assigned by the NLP pipeline's named entity sentiment model, scoped to mentions of this specific entity within the article — not the overall article tone.
Routing tiers
Articles are assigned to one of four tiers based on source quality and entity directness:
| Tier | Description |
|---|---|
| TIER_1 | Primary source (SEC filing, Fed statement, press release) |
| TIER_2 | Tier-1 wire service (Reuters, Bloomberg, AP) |
| TIER_3 | Financial media (WSJ, FT, MarketWatch, Seeking Alpha) |
| TIER_4 | Aggregated / social signals (Reddit, Twitter-firehose) |
Tier is used as a signal weight in the screener's "news velocity" filter and in the morning brief's source selection.
Article impact windows
For articles published during or just after a trading session, Worldview tracks the instrument's price return in four windows:
- T+0 — same-day close vs. open
- T+1 — next-day close vs. publish-day close
- T+2 — two-day close
- T+5 — five-day close
These windows appear as a small sparkline on article cards that are at least 5 trading days old, showing how the stock moved after the article was published.
Filtering
Use the filter bar above the article list to narrow by:
- Sentiment — All / Positive / Negative / Neutral
- Tier — All / Tier 1 / Tier 1+2 / All tiers
- Date range — Last 24h / 7d / 30d / Custom
- Minimum relevance — slide to set a score floor
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