Directional sentiment
A bullish, bearish, or neutral read based on the likely market effect—not the emotional tone of the headline.
Portfolio-aware article analysis
An AI stock news analyzer
built around your portfolio.
Finovu turns a financial article into a structured interpretation: directional sentiment, personal relevance, likely impact, timeframe, confidence, and the holdings most directly affected. You keep the original source and the uncertainty—not just an AI summary.
Portfolio-aware relevance Confidence with a reason Original source retained
Example interpretation structure
Original publisher · Company update
Company raises full-year guidance after stronger demand in its core segment
The source article remains the evidence layer. Finovu analyzes what the catalyst may mean without hiding the reporting it started from.
Review original sourceBullishNext few weeksMedium confidence
Why it matters to you
Explains the direct holding, sector, ETF, or theme connection—or states when there is no direct exposure.
Base-case impact
Describes the most likely path and transmission mechanism without manufacturing a precise price target.
What to investigate next
Suggests a portfolio-specific follow-up about the catalyst, peers, risks, or the evidence that could change the view.
Six questions answered
Go beyond “positive” or “negative” news sentiment
A useful stock news analysis needs to explain the mechanism, the affected exposure, the time horizon, and the uncertainty—not just attach a label to a headline.
Personal relevance
A concise explanation of whether the story directly affects your holdings or matters through sectors, ETFs, rates, or sentiment.
Likely impact path
A base-case prediction plus indirect effects that can connect one company event to related assets and market themes.
Timeframe
A practical window—such as days, weeks, or months—so immediate catalysts are separated from longer-running narratives.
Confidence and uncertainty
A low, medium, or high confidence label with a reason. If evidence is thin, the analyzer is designed to say so.
Source-first review
The publisher and original article link remain visible so you can inspect the underlying reporting before making a decision.
From headline to research decision
01
Build your market context
Add holdings and choose the sectors, assets, events, and themes you follow. That context determines what relevance means for you.
02
Open a financial story
Choose an article from Finovu's continuously updated news feed and keep the original publisher available for verification.
03
Read the structured interpretation
Finovu returns sentiment, relevance, likely impact, timeframe, confidence, directly affected holdings, and useful spillover effects.
04
Follow the next question
Use the suggested follow-up to investigate the catalyst, compare related assets, or explore the wider market narrative in Novu AI.
What Finovu is designed to do
- Separate direct portfolio exposure from indirect market context
- Use current context when a time-sensitive story needs validation
- Lower confidence instead of inventing certainty or fake precision
- Keep the source available for your own review
What it cannot promise
- A guaranteed price reaction or a complete explanation for every market move
- A buy, sell, or hold recommendation
- Perfect sentiment when reporting is incomplete or markets are reacting to several catalysts
- A replacement for the original source, filings, or your own due diligence
Connect news analysis to the full market story
One article is often the beginning of the research process. Move between current news, scheduled catalysts, ongoing themes, and deeper questions without losing the portfolio context.
AI financial news
Discover financial coverage ranked around the assets and themes you follow.
ExploreMarket event alerts
Prepare for economic releases and earnings events before they reach the news cycle.
ExploreTrackdowns
Turn an evolving market thesis into an evidence timeline that updates as the story changes.
ExploreNovu AI
Ask a portfolio-aware follow-up question and investigate the context in plain language.
ExploreStock news analyzer questions
What does a stock news analyzer do?
A stock news analyzer turns a financial article into structured signals that are faster to evaluate. Finovu identifies directional sentiment, explains personal relevance, outlines a likely impact and timeframe, and shows uncertainty while preserving the original source.
Does Finovu analyze news for my portfolio?
Yes. Finovu uses the holdings, assets, sectors, events, and themes in your profile to explain direct and indirect relevance. If none of your current investments are directly affected, the interpretation is designed to say that plainly.
Can it tell me why a stock is moving?
It can analyze the likely transmission mechanism in a specific story—for example earnings guidance, regulation, rates, supply chains, or sector sentiment. It cannot guarantee that one article is the only cause of a price move.
Does the analyzer use current information?
For many time-sensitive or company-specific interpretations, Finovu can use targeted web search to validate or refine the supplied article context. The original article remains available so you can review the evidence yourself.
Is the sentiment score investment advice?
No. Sentiment and impact fields are model-generated research aids, not recommendations or guarantees. They are meant to help you triage information, inspect sources, and decide what deserves deeper research.
Find the story. Understand the impact. Check the source.
Use Finovu to turn stock news into a clearer research decision while keeping uncertainty and original reporting visible.
No credit card required