Market intelligence articles,
written by AI
When a topic reaches critical mass in the news stream, SentiSignal automatically generates a structured market intelligence article — grounded in real data, free of bias, and ready when you need it.
- • Same story from 12 different sources
- • No context about why it matters for price
- • Mixed signal and noise, no quality filter
- • Requires hours of reading to form a view
- • One structured analysis of the topic
- • Sentiment trend and price context included
- • Only published after quality verification
- • Read in 2 minutes, know what matters
The 6-stage pipeline
From breaking news to published market intelligence
Detect Topics
AI monitors the news feed and clusters articles that cover the same developing story. When enough signal accumulates, a topic proposal is created.
Enrich Data
Current price, sentiment trend, source credibility scores, and related historical events are pulled in. The article gets the full picture before writing starts.
Check Sufficiency
Not every topic becomes an article. A quality gate checks whether there's enough unique, verified information to justify a full write-up — preventing thin or duplicate content.
Generate Content
The LLM writes the article using structured data: confirmed facts from news, price context, and sentiment trends. No hallucinations — everything is grounded in source material.
Verify Quality
A second AI pass reviews the draft for factual consistency, relevance, and readability. Articles that don't pass are sent to draft, not published.
Publish or Draft
Verified articles are published to the feed and indexed for search. Drafts are reviewed by the system or flagged for manual review.
Why this is different
Grounded, not generated
Every sentence traces back to real news sources, price data, or sentiment metrics. Articles can't invent facts — the pipeline only works with what's been verified.
Context you don't get elsewhere
An article about Bitcoin's price drop comes with the sentiment trend that preceded it, the credibility of the sources driving the narrative, and historical parallels.
No editorial bias
AI doesn't have a bullish or bearish agenda. Articles reflect the data: what sources are saying, what sentiment scores show, and what price is doing — without spin.
Continuously updated
New articles are generated as new topics emerge from the news stream — not on a fixed daily schedule. Fast-moving markets get coverage that matches their pace.
The depth of a research report. The speed of AI.
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