S&P 500 Index - 1 Year Evolution

1 Year Return

▲ +34.42%

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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.

Top 1-year algo backtest: +265.99%

$10,000 in October 2023 would now be $36,599 by following this algorithm daily at market close.

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S&P 500 Index Data

Open 57.98
High 58.06
Low 57.60
Close 57.78
Volume 10,035
Previous Close 57.69
1-Day Change 0.09
1-Year Change 14.80
Average Daily Volume 22,757
52-Week High 58.57
52-Week Low 42.81

S&P 500 index trading signals - Nov. 20, 2024 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 57.78
+0.16%
50.05
±3.70
0.12%
±0.77%
11 50 252 0.62
±1.21%
. 46 252 252 56.87
-1.57%
58.57
1.37%

Top 10 S&P 500 Companies Concentration by Market Cap

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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.