Storyline · business · 3 reports from 2 newsrooms

Software stocks eyed as earnings season heats up

First reported Oct 28, 11:06 AM ET · Latest Oct 31, 6:45 AM ET · Explainer updated Oct 30, 11:31 AM ET

Where things stand

Markets experienced a volatile October with many big‑tech shares falling sharply, yet the S&P 500 index showed underlying strength as most component stocks posted gains, MarketWatch reports.

Continuum

Facts

Facts appear here as Relay matches them to the reports.

Timeline

What changed: Analysts now flag several software companies as potential winners as the earnings season ramps up, highlighting a higher bar for performance after recent outperformance, MarketWatch adds.

Every report, newest first

  1. The AI trade's trick-or-treat earnings season — Axios

    The latest wave of hyperscaler earnings is spooking Wall Street. Bulls and bears alike have evidence to validate their wildest dreams — or their worst nightmares. Why it matters : The market's AI obsession has entered its Jekyll and Hyde era, with the latest…

  2. In a wild October for markets, these stocks were the biggest winners and losers — MarketWatch

    Many Big Tech stocks were hit hard but the S&P 500 showed strength under the surface, with a majority of stocks showing gains for the month.

  3. These software stocks could be winners as earnings season kicks into high gear — MarketWatch

    The bar is higher for software companies now that their stocks have been outperforming, but analysts identify some top picks whose results could shine through.

Questions

  • Which specific software firms will deliver the strongest earnings and whether their results will sustain the broader market’s modest gains remain unclear. Open

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More: background

The S&P 500 is a broad gauge of U.S. large‑cap stocks; its resilience suggests overall market breadth despite sector dips. “Earnings season” is the quarterly period when publicly traded firms release financial results, and analysts often look for standout performers, especially in fast‑moving sectors like software.

How this works: stories from different newsrooms are grouped by topic, then AI writes the explainer using only those reports. It may miss context the reports don't include.