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AI News Analysis

Read how the news feels about any stock.

Pomegra's AI scans dozens of financial news sources and turns market-moving headlines into a plain-English sentiment read — bullish or bearish, with a confidence score and every source it cited.

Dozen
Trusted sources
Tech analysis
In plain language
Bull / Bear
+ confidence
Try our AI stock analyzer
Reads from sources like
ReutersBloombergMarketWatchCNBCWSJBarron'sFinancial Times+ dozens more
How it works

From a ticker to a verdict in seconds

Advanced language models read the news the way an analyst would — then hand you the conclusion, not the homework.

01

Enter a stock ticker

Type any symbol — NVDA, TSLA, AAPL — and Pomegra goes to work instantly.

02

AI processes the news

Natural-language models scan fresh coverage from Reuters, Bloomberg, MarketWatch and dozens of other trusted outlets.

03

Get market intelligence

Receive a clear bullish / bearish breakdown with a confidence score and the exact sources behind it.

Why Pomegra

Market intelligence, minus the noise

Built for investors and traders who need to know what the headlines mean — fast, and with their receipts.

Real-time market intelligence

Sentiment updates as news breaks. AI-powered monitoring processes market-moving stories within seconds of publication.

Comprehensive news coverage

Analysis spans trusted outlets like Reuters, Bloomberg and MarketWatch — capturing both institutional and retail sentiment.

Plain-English insights

Natural-language processing translates complex market sentiment into clear, actionable takeaways anyone can act on.

Transparent analysis

Every verdict shows its work: bullish vs. bearish counts, confidence scores and full source attribution — no black box.

Plain-English technicals

The charts, decoded — no finance degree needed

It's not just the news. Pomegra also reads the technical signals — momentum, moving averages, support levels — and rewrites the jargon into one plain sentence, plus what it actually means for your decision.

The jargonRSI 72 · “overbought”
In plain English

The price has climbed fast lately and now looks a little stretched.

What it means for you

A pause or small pullback is possible — on its own, it's not a reason to sell.

The jargonGolden cross · 50d > 200d
In plain English

The recent trend just crossed above the long-term trend.

What it means for you

Momentum is improving — often read as a constructive, longer-term signal.

The jargonTesting support at $180
In plain English

The price keeps bouncing off the same familiar floor.

What it means for you

Buyers are stepping in there. A clear drop below it would be the real warning.

Questions & Answers

Sentiment analysis FAQ

It's a way of measuring whether the news flow around a stock leans positive (bullish) or negative (bearish). Pomegra reads recent coverage and scores the overall mood so you can gauge how the market is reacting — without reading every article yourself.

Natural-language models read each headline and article the way an analyst would, classifying tone and weighing it by source and recency. The individual signals are aggregated into a single bullish/bearish score with a confidence level.

Prices move on expectations, and expectations move on news. Tracking sentiment helps you spot shifts in the narrative around a company early — often before they're fully reflected in the share price.

Yes. Alongside news sentiment, Pomegra reads the key technical signals — momentum like RSI, moving-average crosses such as the golden cross, and support and resistance levels — and rewrites each one into a single plain-English sentence, plus what it means for your decision. You get the chart's story without having to read a chart.

Pomegra scans dozens of trusted financial outlets, including Reuters, Bloomberg, MarketWatch, CNBC and more. Every verdict lists the specific sources it drew from so you can verify the read.

No tool can predict prices with certainty. Sentiment is one input among many — it tells you how the news is leaning right now. Use it alongside fundamentals and your own research, not as a standalone signal.