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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 Logarithmic Chart of S&P 500 Index with and without Inflation and with Best Fit and other graphs to Feb 2024
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.
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 because it gives the same Y or vertical displacement for a certain percentage move up or down regardless of date.
A look at the S&P 500’s current rolling three-year average return shows the market’s rise over this period has been almost exactly average. Currently, this return stands at around 30%; a year ...
New analysis from Goldman Sachs shows how a record consolidation at the top of the S&P 500 led to much of the index's 2023 gains. ... — make up 29% of the S&P 500's market cap. And a chart ...
The Dow rallied 683 points, while the S&P 500 and Nasdaq rose 2.3% and 32.8%, respectively. The S&P 500 enjoyed its best day since 2022, clawing back losses from Monday's big sell-off.
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 ]
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.