Every news article collected from RSS feeds, with AI-powered sentiment scores.

View Modes

Tiles View

Each article appears as a card with a preview image. Key scores are shown at the bottom:

Score	What It Measures
Buzz (0–100)	Social media engagement — how much discussion this article is generating
Rel (0–100)	Relevance — how important this article is to the tracked stock
Ticker (0–100)	Sentiment toward the company — lower = negative, higher = positive
Econ (0–100)	Sentiment toward the broader economy

Colors tell the story:

• Green (>55): Positive signal
• Blue (45–55): Neutral
• Red (<45): Negative signal

Table View

A spreadsheet view with full scoring details. Click column headers to see the complete breakdown.

Filters

• Time range: Show articles from the last 1 day to 365 days
• Relevant toggle: Show only articles scored as relevant to the ticker
• Feed filter: Filter to articles from a specific RSS feed

How Sentiment Scoring Works

Every article is read by AI and scored on multiple dimensions:

Score	Range	What It Tells You
Ticker Sentiment	0–100	Is this article saying good or bad things about the company?
Economy Sentiment	0–100	Is the article optimistic or pessimistic about the economy?
Country Sentiment	0–100	Sentiment about the company's home country economy
Momentum	0–100	Is the sentiment getting stronger in one direction?
Jitter/Uncertainty	0–100	How stable or erratic is the sentiment signal?
Buzz	0–100	How much engagement is this article getting?
User Interest	0–100	How much attention is the market paying?

What to Do Here

• Scan headlines to understand what's driving the stock today
• Watch the Ticker Sentiment — a cluster of negative articles might signal a price drop
• Track momentum — if sentiment keeps getting more positive, the trend is strengthening
• Check the reasoning to understand why the AI scored an article the way it did