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Data can be downloaded using button to right of chart area. Two related graphics are being uploaded today: one with linear scale, and one with logarithmic scale. Both are linked below. Technical note: most SVG code was automatically generated by the "Line charts" spreadsheet linked at User:RCraig09/Excel to XML for SVG. Minor additions and ...
Drummond Geometry is a trading method consisting of a series of technical analysis tools invented by the Canadian trader Charles Drummond starting in the 1970s and continuing to the present (2021). [1] The method establishes support and resistance areas in multiple time periods and uses these to determine high probability trading areas. [2]
For example, below is a chart of the S&P 500 since the earliest data point until April 2008. While the Oracle example above uses a linear scale of price changes, long term data is more often viewed as logarithmic: e.g. the changes are really an attempt to approximate percentage changes than pure numerical value.
A line break chart, also known as a three-line break chart, is a Japanese trading indicator and chart used to analyze the financial markets. [1] Invented in Japan, these charts had been used for over 150 years by traders there before being popularized by Steve Nison in the book Beyond Candlesticks .
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.
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You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
A log–log plot of y = x (blue), y = x 2 (green), and y = x 3 (red). Note the logarithmic scale markings on each of the axes, and that the log x and log y axes (where the logarithms are 0) are where x and y themselves are 1. Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right).