How AI Reads Financial News: Sentiment and Impact

When a news article is published about NVIDIA, Aktai's AI engine has read it, classified its sentiment, scored its market impact, identified the tickers it mentions, and fired a WhatsApp alert to the right users, all within 90 seconds. This article explains exactly how that works.

What AI sentiment analysis actually is

Sentiment analysis on financial text is the problem of determining whether a piece of text is positive, negative, or neutral, specifically in the context of stock prices. This sounds simple. It is not.

Consider this headline: “TCS misses Q3 estimates but raises guidance for FY27.”

A keyword-based system flags “misses” as negative. An AI-based system understands that “raises guidance” in the same sentence often outweighs a quarterly miss in terms of market reaction, because guidance reflects management's own view of forward performance. The AI classifies this as Neutral-to-Positive, not Negative.

This distinction matters because it directly determines whether you receive an alert and what that alert tells you. Bad classification = misleading alerts = you ignoring the system within a week.

The Aktai AI pipeline, step by step

What the AI looks for

Financial sentiment is different from general text sentiment. The AI is trained to detect signals that specifically predict stock price movement:

• Earnings beats and misses: Revenue and EPS versus analyst consensus estimates. The AI knows the difference between a beat and an in-line result.
• Guidance changes: Raised guidance is typically positive even with a quarterly miss. Withdrawn guidance is a strong negative signal.
• Regulatory announcements: SEBI circulars, SEC filings, exchange disclosures, especially material non-public information that becomes public through regulatory channels.
• Analyst upgrades and downgrades: Price target changes from major brokerages move stocks. The AI extracts the magnitude of the change and the source credibility.
• M&A activity: Acquisition announcements, merger approvals, deal collapses, all significant price catalysts.
• Leadership changes: CEO departures and appointments often trigger immediate reactions. The AI catches these even when buried mid-article.

What the AI deliberately ignores

A significant part of what makes AI-powered stock alerts useful is knowing what NOT to alert on. The system is tuned to filter out:

• General market commentary that mentions your stock in passing
• Analyst reiterations with no change in price target
• Earnings previews published before the actual result
• Social media speculation with no primary source
• Editorial opinion pieces with no specific financial disclosure

Every one of these is noise. Including them would mean an investor holding 10 stocks receives 30–50 alerts per day, which is not a stock alert system, it is a news feed. The filtering is the product.

The impact score: how urgency is calculated

Not all material news is equally urgent. A quarterly earnings result for a Nifty 50 company is a 9. A debt covenant update for a mid-cap is a 4. The AI scores each article on a 1–10 scale based on:

• The type of event (earnings > analyst change > general news)
• The size of the surprise or change (beat by 2% vs beat by 15%)
• The source credibility (exchange filing > wire service > financial blog)
• Historical volatility of the stock in question

Pro users can set their own impact threshold, only alert me on 7+ for RELIANCE, 5+ for mid-caps. This gives you the right granularity without having to manually filter everything, the same scoring drives the market pulse feed.

Why speed is not optional

The economic value of a stock alert degrades rapidly over time. At T+0 (article published), the information is new. At T+2 minutes, early traders have already reacted. At T+15 minutes, the price has moved and partially retraced. At T+90 minutes, you have history, not an opportunity.

This is why Aktai's pipeline is engineered for under-90-second delivery. Not because 91 seconds is catastrophically worse than 89, but because the difference between sub-2-minute and sub-15-minute alerts is the difference between a decision and a postmortem.

For Pro users, there is no artificial delay. The alert arrives as fast as the pipeline can process it. For Free users, a 60-minute delay applies, still more useful than most broker notifications, but enough to incentivise the upgrade.

Related Reading

• AI Equity Research Tools for Analysts 2026 →
• Plain-English Stock Filing Summaries →
• BSE Corporate Filings: A Guide for Research Analysts →