S&P 500 rose 0.7%

Strota Newsroom · Global Markets · session of 2026-08-28 · market close

S&P 500 closed at 7,730.99 on 2026-08-27, rose 0.7% on the session and is +12.9% year-to-date. Here is what the market data shows.

The S&P 500 closed higher on August 27, rising 0.72% to finish at 7,730.99. The gain extended a steady climb — the index is up 1.18% over the past week, 5.67% over the past month and 12.94% year to date.

The move left the index within 0.87% of its 52-week high of 7,798.99 and 21.87% above its 52-week low of 6,343.72. It sat above both its 50-day average of 7,557.96 and its 200-day average of 7,114.32, a sign the broader uptrend is intact.

Among its US peers, the Nasdaq rose 1.57% and the Dow added 0.2% in their most recent closes on August 27. Overseas markets showed mixed recent closes: London's FTSE 100 was off 0.07% and Frankfurt's DAX up 0.08% as of August 26, while Tokyo's Nikkei rose 0.31% and Korea's KOSPI gained 1.16% in their August 28 closes — each market's own most recent session, not a single shared day.

The day's direction traced to earnings. According to a headline from CNBC, the S&P 500 and Nasdaq closed higher as Nvidia rallied on revenue guidance, and MarketWatch reported the Dow and S&P 500 ended higher on the same move. Investors were also looking ahead to a Jackson Hole address, CNBC noted.

The data does not establish a single driver beyond the earnings-driven tech strength, and the index's advance came against flat-to-mixed action in Europe and Asia. What is clear is where the S&P 500 sits — near record levels and above its trend lines — leaving the next push dependent on whether the earnings momentum holds. The one-month gain of 5.67% shows the move is part of a broadening advance rather than a single-session spike.

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How this article was made: Strota assembled the market data above (the index's price history, same-session peer-market moves and public headlines) and an AI model wrote the narrative strictly from that evidence — it is not permitted to add outside facts or numbers. Every figure comes from the underlying market/public data.