News Impact Table — Which News Moved the Market
How the AI identifies which specific news events coincided with — and may have driven — price movements.
The News Impact Section
The final major section of every AI Chart Analysis focuses on news impact — identifying which specific articles published during the analyzed timeframe coincided with notable price movements.
What News Data the AI Receives
The system feeds the AI the top N articles from the timeframe, ranked by a composite score of:
- Importance — how market-relevant the article is (LLM-scored).
- Quality — how well-written and substantive the article is.
- Credibility — how trustworthy the publishing source is.
Only articles that pass a minimum threshold on this composite score are included. This prevents low-quality clickbait from polluting the analysis.
How the AI Evaluates News Impact
The AI evaluates each high-ranking article against the price data to determine potential impact:
- Temporal proximity — did the article's publication time coincide with a price spike or drop?
- Sentiment alignment — does the article's sentiment direction match the price direction that followed?
- Uniqueness — is this article covering a new event, or repeating something already priced in?
Example Output Format
The AI typically presents its findings as a structured breakdown — sometimes as a table, sometimes as a narrative list. A representative format looks like:
| News Title | Sentiment | Timing | Price Reaction |
|---|---|---|---|
| "SEC Approves Spot ETH ETF Applications" | +0.85 | Jun 3, 14:00 | +4.2% in 6h |
| "Major Exchange Reports Security Breach" | -0.72 | Jun 5, 09:00 | -2.8% in 3h |
Catalysts vs Coincidences
A critical distinction the AI attempts to make is between:
- Catalysts — news events that the AI believes caused or significantly contributed to a price move. These are identified by strong temporal proximity, matching sentiment direction, and the event's market significance.
- Coincidences — news that happened around the same time as a price move but is unlikely to have caused it. For example, a minor partnership announcement during a broad market sell-off triggered by macro factors.
Important Limitation: Correlation ≠ Causation
The AI cannot prove that a specific article caused a price change. Financial markets are driven by countless simultaneous factors — order flow, derivatives positioning, macro events, whale movements — that the AI does not have access to. What the AI can do is note temporal associations: "This article was published 2 hours before a 3% price increase, and its sentiment was strongly bullish."
Treat the AI's attributions as hypotheses, not conclusions. They are starting points for your own investigation.
Practical Use Case
The most common workflow is:
- You notice a significant price spike or drop on the sentiment chart.
- You click "Analyze chart" to generate an AI analysis.
- You scroll to the news impact section to see which articles the AI attributes to the move.
- You read the identified articles directly to form your own view on whether the move is justified.
This workflow turns a 15-minute manual research process into a 60-second automated one. For deeper quantitative analysis of which news sources consistently lead price, see the Source Predictability lesson in the SentiLab module.
Why This Matters
Understanding why a price moved is just as important as knowing that it moved. A rally driven by genuine regulatory approval has different legs than one driven by a rumor that gets debunked. The News Impact Table gives you a fast, AI-curated answer to the question every trader asks: "What news caused this?"