Financial News Intelligence, Summarized and Source-Linked.
Follow headlines, market news and corporate announcements by topic and watchlist, with AI summaries that always point back to the original story.
Organized news
A calmer way to keep up with financial news
Financial news arrives as a constant stream of headlines, repeats and announcements. The news module is designed to sort that stream by topic and by the companies you follow, add a short AI summary to each item and keep a clear link to the original source.
- Topic categories such as earnings, policy, commodities and corporate actions
- Watchlist filters so you see stories about the companies and sectors you follow
- Short AI summaries that state the key facts of a story in a sentence or two
- A source link on every item so you can read the full story and check it
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In development
In development
Product status: Quantzivo AI is in development. Features described here reflect the planned scope and may change before release.
Planned capabilities
What the news module is designed to do
Financial headlines
A single feed of financial headlines, grouped so repeated coverage of the same story is easier to spot.
Market news
Broader market and sector stories alongside company news, so you see the backdrop as well as the detail.
Corporate announcements
Results, guidance updates, dividends, buybacks, management changes and deals, tagged by type.
AI news summaries
One or two sentences on what was reported, written to describe the story rather than to judge it.
Topic categorization
Each item tagged with topics, companies and sectors so you can filter the feed in a few clicks.
Source-linked intelligence
Every summary carries a link to the original story, so the source, not the summary, is the reference.
From story to summary
How a summary stays tied to its source
Collect the story
Each item is stored with its headline, publisher, publication time and original link.
Summarize the facts
The AI writes a short summary from the text it can access, focusing on what was reported.
Tag and group
Topics, companies and sectors are tagged, and near-duplicate stories are grouped together.
Link back
The summary is shown with its source and time, and one click opens the original for the full context.
Topic categorization
Filter the feed the way you research
Planned topic tags cover the kinds of stories researchers most often look for. Combine them with watchlists and date ranges to narrow the feed.
- Earnings and results
- Guidance updates
- Central banks and policy
- Economic data releases
- Commodities
- Mergers and acquisitions
- Dividends and buybacks
- Management changes
- Regulation
- Sector news
By topic
Show only earnings stories, or only policy news, when that is the question you are working on.
By watchlist
Limit the feed to the companies and sectors in a watchlist so relevant stories are not buried.
By date range
Look back at the coverage around a specific period, such as the weeks before and after a results release.
Limitations
What an AI summary can get wrong
Summaries save time, but they are a compression of someone else's reporting. These are the main ways they fall short, and what to do about it.
| Limitation | Why it happens | What to do |
|---|---|---|
| Lost nuance | A short summary drops qualifications, conditions and context from the full article. | Open the source for anything you plan to rely on. |
| Factual errors | Language models can misread figures, confuse companies or state something the article did not say. | Check key numbers and names against the original. |
| Partial access | If only a headline or excerpt is available, the summary can only reflect that portion. | Treat summaries of short excerpts as headlines, not full stories. |
| Timing | Stories are updated and corrected after publication; a summary reflects the version it was written from. | Note the timestamp and check the source for updates. |
| Source framing | Summaries inherit the angle and emphasis of the original reporting. | Compare coverage of the same event from more than one source. |
| Misplaced tags | Automatic topic and company tags can be wrong, especially for companies with similar names. | Use tags to filter, then confirm relevance by reading. |
News is context, not a recommendation. Summaries describe what was reported. They are not investment advice or a judgment on whether to buy or sell anything, and the original source should be treated as the authoritative version.
Connected research
News becomes more useful next to the data
A headline about margins means more when the margin history is one click away. The news module is designed to share context with the rest of Quantzivo AI.
See the tone of coverage over time in Sentiment Analysis- Check a results story against the reported figures in Fundamental Research
- Read policy news next to the data in Macro Intelligence
- Ask the AI assistant to summarize a week of stories for a watchlist
FAQs
All FAQsNews intelligence questions
Source coverage has not been finalized and will be confirmed closer to release. Whatever the sources, each item will show where it came from and link to the original.
Use summaries to decide what to read, not as a replacement for reading. AI summaries can omit important detail or contain errors, which is why every summary links to its source.
No. Summaries describe what was reported. The module does not forecast price reactions or suggest trades based on news.
News intelligence organizes and summarizes individual stories. Sentiment analysis classifies the tone of those stories and aggregates it over time, so you can see how coverage has shifted.
News intelligence
Spend less time sorting news and more time reading what matters
Request early access to the news intelligence module, or see how it connects to sentiment, fundamentals and macro research across Quantzivo AI.