^SPX

54.74

▲ +0.44%

Stock Index

S&P 500

Index Symbol: ^SPX

Total Market Capitalization (USD): $54.245 Trillion

format_list_bulleted S&P 500 Companies List

S&P 500 Data & Tools

S&P 500 Index - 1 Year Evolution

1 Year Return

▲ +3.42%

file_download

Daily close values, with moving averages and volumes
Moving averages:

  • — EMA20
  • — SMA50
  • — SMA200

S&P 500 Index Description

The Standard and Poor's 500, better known as the S&P 500 or just simply the S&P, is a stock market index that tracks 500 large companies listed on stock exchanges in the United States. This capitalization-weighted index, which gives more weight to larger companies, is considered to be one of the best benchmarks for the American stock market, and for the broader US economy.

The S&P 500 is maintained by S&P Dow Jones Indices, a joint venture majority-owned by S&P Global, and its components are selected by a committee.

S&P 500 Index Data

Open 54.75
High 54.96
Low 54.71
Close 54.74
Volume 4,220
Previous Close 54.50
1-Day Change 0.24
1-Year Change 1.81
Average Daily Volume 24,919
52-Week High 60.33
52-Week Low 46.22

S&P 500 index trading signals - July 7, 2025 close

trending_up

Index [Trending Up]

 Position to Moving Averages Cross Moving Averages Positions Support / Resistance
Trading signals of S&P 500 stocks Last Close / Change 1-Year Mean / Standard Deviation 1-Year Return Mean / Standard Deviation 1. Price/EMA20
2. Price/SMA50
3. Price/SMA200 		20-Day Z-Score / 20-Day StD. Golden / Death Cross 1. EMA20/SMA50
2. EMA20/SMA200
3. SMA50/SMA200 		Support / Downside Resistance / Upside
Stock Index Closing
Price		 1-Y Mean
StD.		 1-Y Ret. Mean
StD.		 Pos. to Mov. Avg. 20D Z-Score
20D StD.		 Golden/Death Cross Cross Mov. Avg. Pos. Support
Downside		 Resistance
Upside
trending_up Stocks Trending Up trending_down Stocks Trending Down 54.74
+0.44% 		54.65
±3.37 		0.02%
±1.22% 		10 41 -86 1.48
±0.57% 		. 38 -77 -58 54.04
-1.28% 		54.95
0.38%

S&P 500 index movers as of July 7, 2025 market close

Leaders
Stock Company Industry Change
TSCO Tractor Supply Company Specialty Retail 3.86%
UBER Uber Software—Application 3.24%
WYNN Wynn Resorts, Limited Resorts & Casinos 2.86%
GEV GE Vernova Inc. Electrical Equipment & Parts 2.58%
TPR Tapestry, Inc. Luxury Goods 2.48%
MKTX MarketAxess Holdings Inc. Capital Markets 2.47%
KR The Kroger Co. Grocery Stores 2.31%
DLTR Dollar Tree, Inc. Discount Stores 2.26%
MCK McKesson Corporation Medical Distribution 2.24%
RL Ralph Lauren Corporation Apparel Manufacturing 2.14%
Laggards
Stock Company Industry Change
TSLA Tesla Auto Manufacturers -6.77%
CE Celanese Corporation Chemicals -4.58%
BG Bunge Limited Farm Products -4.56%
FSLR First Solar, Inc. Solar -4.26%
BAX Baxter International Inc. Medical Instruments & Supplies -4.22%
LULU Lululemon Athletica Inc. Apparel Retail -4.09%
EIX Edison International Utilities—Regulated Electric -3.92%
ODFL Old Dominion Freight Line, Inc. Trucking -3.91%
ON ON Semiconductor Corporation Semiconductors -3.48%
DOW Dow Inc. Chemicals -3.34%

Top 10 S&P 500 Companies by Market Cap as of Jan. 1, 2025

Company Stock(s) Sector Industry Market Cap (USD)
Nvidia NVDA Technology Semiconductors $3.605 T
Apple AAPL Technology Consumer Electronics $3.363 T
Microsoft MSFT Technology Software—Infrastructure $3.321 T
Amazon AMZN Consumer Discretionary Internet Retail $2.475 T
Alphabet GOOGL GOOG Communication Services Internet Content & Information $2.432 T
Meta META Communication Services Internet Content & Information $1.607 T
Tesla TSLA Consumer Discretionary Auto Manufacturers $1.324 T
Broadcom AVGO Technology Semiconductors $1.126 T
Berkshire Hathaway BRK.B Financials Financial Conglomerates $991.39 B
Walmart WMT Consumer Staples Discount Stores $753.61 B
format_list_bulleted List of all S&P 500 companies

Top 10 S&P 500 Companies Concentration by Market Cap

warning

Disclaimer

All information and data available on Disfold is NOT FINANCIAL ADVICE. Invest at your own risk!

Past performance is not a guarantee of future performance. Patterns tend to repeat themselves, but they don't necessarily have to.

Successful backtests on past data do not guarantee the future success of the strategy backtested, especially as backtest overfitting may occur: when the price of a stock may fit particularly well a given trading strategy over a given period, but not necessarily outside of that period. Besides, backtests do not account for exact market conditions and may yield significantly different results in real trading practice (fees, slippage...).

Furthermore, even though Disfold strives to provide the best and most accurate data, errors can occur in Disfold's systems, or in our data providers' systems.

Please conduct your own due diligence to verify insights.