Headline signals for self-directed investors
AI Headline Analysis
Track what changed in the market, which sectors and companies appear exposed, and what risks deserve review before acting. Mavefund turns live headlines into research signals, not buy or sell instructions. Illustrative dashboard visuals on this page are labeled as sample context until live page-level metrics are published.
- Market Change Detection
- Affected Names Mapping
- Signal Direction Context
- Risk Checks Review
Top Headlines refresh from the current feed below. Hero cards and dashboard visuals are illustrative sample research context unless marked otherwise.
Research workflow
From headline to research signal
The page is designed to help investors move from breaking news to a focused research queue, with source context, affected entities, sentiment direction, and risk checks kept together.
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01
Detect what changed
Scan fresh market headlines and classify the event, theme, and source context.
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02
Map exposure
Connect topics and entities to sectors, companies, and watchlist candidates.
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03
Score direction
Separate bullish, neutral, and bearish readings using historical model output.
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04
Review risks
Check caveats, contradictory signals, and data assumptions before deeper research.
Signals are informational research support. They are not personalized investment advice.
Market Mood
i-100 Neutral
0 Bullish
+100
vs yesterday ▲ 12
Illustrative sample market mood visual for product walkthrough only.
Sample dashboard counts are shown for product context. They are not live totals or backtested results.
Top Headlines
View AllLoading current headline feed.
View All HeadlinesSector Sentiment Heatmap
iIllustrative sample sector sentiment layout. Use it as a workflow example, not a live sector score.
Top Entity Mentions
View All-
1FED
Federal Reserve1,248
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2NV
Nvidia (NVDA)986
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3AP
Apple (AAPL)842
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4MS
Microsoft (MSFT)738
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5CN
China623
Illustrative sample entity counts for product context. They are not current live mention totals.
AI Featured Insight
iRate Cut Expectations Move Into The Research Queue
When rate-cut language rises across trusted sources, the model flags technology and financials for follow-up research. This is a sample insight card that shows the workflow. Review inflation data, Fed commentary, and valuation risk before drawing conclusions.