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Once the market reaches a new all-time high, it tends to keep going up for a long time. The S&P 500 closed at a record high 42 times through Sept. 27 this year. And that's far from an aberration.
A linear chart of the S&P 500 daily closing values from January 3, 1950, to February 19, 2016 A logarithmic chart of the S&P 500 index daily closing values from January 3, 1950, to February 19, 2016 A daily volume chart of the S&P 500 index from January 3, 1950, to February 19, 2016 S&P 500 Max Min Chart to Jan 2025 with Trend, with plots less Inflation, and comparison plots
But our Chart of the Week points to one metric that recasts this exuberance as almost mediocre. A look at the S&P 500’s current rolling three-year average return shows the market’s rise over ...
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.
Buffett has also frequently been quoted as saying the S&P 500 index fund is the best ... the S&P 500 has always come back from bear markets and corrections to set all-time highs. Even its ...
On March 28 and April 10, 2013, the index's October 2007 closing and intraday trading highs, respectively, were surpassed for the first time, recovering all losses incurred during the Great Recession. [6] [21] [22] [23] The index surpassed 2,000 for the first time on August 26, 2014, reaching an all-time closing high of 2,130.82 on May 21, 2015 ...
Stocks are surging higher with the S&P 500 nearing 5,000 for the first time. To ... The bottom chart [dark green line] is the price-to-book ratio of small caps versus large [caps]. You're back to ...
English: S&P 500 Index Logarithmic Chart's Interesting Features. While S&P 500 data to linear plot scale is good for analysis of a span of 2 or 3 years, beyond that a logarithmic S&P 500 chart is best. This is because it gives the same Y or vertical displacement for a certain percentage move up or down regardless of date.