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  2. S&P Chart Sees 200-Day Moving Average Alert - AOL

    www.aol.com/news/2012-11-14-sp-chart-sees-200...

    After PPI and retail sales showed no major pressure, stocks are trying to find their footing after selling off considerably since the election. We are looking at the charts for guidance ...

  3. Investors should brace for a correction as 2025 kicks off ...

    www.aol.com/news/investors-brace-correction-2025...

    The S&P 500 is already down about 4% from its record high reached ... chart master says. ... Potential support levels to monitor include the S&P 500's 200-day moving average at about 5,555, which ...

  4. How Does the the 200-Day Moving Average Affect Me? - AOL

    www.aol.com/finance/does-200-day-moving-average...

    The simple moving average, or SMA, is one of the most common pieces of technical data that investors rely on. In the case of the 200-day SMA, it shows you the stock's average price over the past ...

  5. List of largest daily changes in the S&P 500 Index - Wikipedia

    en.wikipedia.org/wiki/List_of_largest_daily...

    While the S&P 500 was first introduced in 1923, it wasn't until 1957 when the stock market index was formally recognized, thus some of the following records may not be known by sources. [ 1 ] Largest daily percentage gains [ 2 ]

  6. File:S&P 500 Log $ Chart 1950 to February 2024 and Other ...

    en.wikipedia.org/wiki/File:S&P_500_Log_$_Chart...

    The upper cluster has two roughly parallel curvy plots using S&P 500 Monthly $ MAXIMUM values for the upper line and $ MINIMUM values for the lower line 1/1950 to latest on chart. The upper cluster has 2 straight lines a Best Fit Upper, and Best Fit Lower, which in effect represent one line with thickness or separation, value see chart legend.

  7. Bollinger Bands - Wikipedia

    en.wikipedia.org/wiki/Bollinger_Bands

    S&P 500 with 20-day, two-standard-deviation Bollinger Bands, %b and bandwidth. Bollinger Bands (/ ˈ b ɒ l ɪ n dʒ ər /) are a type of statistical chart characterizing the prices and volatility over time of a financial instrument or commodity, using a formulaic method propounded by John Bollinger in the 1980s.

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