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  2. File:DJIA historical graph (log).svg - Wikipedia

    en.wikipedia.org/wiki/File:DJIA_historical_graph...

    Same as en:Image:DJIA historical graph.svg, except logarithmic rather than linear. Log 10 applied to all values. From May, 1896 - Dec, 1900: monthly closings; Source: From Jan 4, 1901 - Dec 30, 2011: daily closings; Source: From Jan 3, 2012 - present; Source: See also: Linear version: Date: 6 May 2007 (original upload date) Source

  3. Drummond geometry - Wikipedia

    en.wikipedia.org/wiki/Drummond_geometry

    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]

  4. File:Logarithmic Scales.svg - Wikipedia

    en.wikipedia.org/wiki/File:Logarithmic_Scales.svg

    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.

  5. Line break chart - Wikipedia

    en.wikipedia.org/wiki/Line_break_chart

    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 .

  6. File:S&P 500 Index Logarithmic Chart through Jan 2021.svg

    en.wikipedia.org/wiki/File:S&P_500_Index...

    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.

  7. Trend line (technical analysis) - Wikipedia

    en.wikipedia.org/wiki/Trend_line_(technical...

    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.

  8. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Loglog_plot

    A loglog 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).

  9. Gann angles - Wikipedia

    en.wikipedia.org/wiki/Gann_angles

    Gann watched for important tops and bottoms to form on a daily, weekly, or monthly chart and drew his angles from these changes in trend. When the trend is up and the price stays in the space above an ascending angle without breaking below it, the market is strong; when the trend is down and the price remains below a descending angle without breaking above it, the market is weak.