In the "percent" mode the changes are displayed as a percentage. chart = anychart.stock() Ĭot(0).yScale().comparisonMode("value") In "value" mode the changes are displayed in original scale units. To enable this mode use comparisonMode() method that accepts values of enum as a parameter value.
#Anychart datetime axis utc series
You can compare with the first visible value, series first value and a custom date, see Comparison base section below to learn more. The result of the configuration shown above, along with some axes tuning can be seen on a sample below:Īn圜hart Stock supports the "Comparison Mode" scale - a very important feature for showing stocks-related information that allows comparing changes in series values. If there is a reason, you can create shared scales, but in most cases configuration goes like this: // get a plot scale Detailed description Params: Returns: - Self instance for method chaining. The biggest difference between scales in basic charts and stocks is the fact that you have scales in every plot and have to configure them accordingly - in different plots. Methods Description alignMaximum alignMaximum () Since version 8.2.0 alignMaximum (enabled) Since version 8.2.0 Getter for a flag if the maximum should be aligned by major ticks interval. In this section we will demonstrate only the differences of AnyStock scales from basic charts' ones. An圜hart DateTime axis scale 197888 edited I'm trying to display the x-axis for a chart with a 'fixed' scale of months within a given period, using a Line Series chart. Learn more about basis Axes options available (like tickmarks, axis line and so on) see Axes, to learn more about basic scale options (like maximum, minimum, scale modes and so on) see Scale tutorial. More information about data formats and usage is in Date/Time tutorial.
Presentation of data on a dateTime scale can be helpful for displaying time lines and time intervals. In An圜hart scales control calculations and modes while Axes control axes labels, lines and tick marks. A dateTime scale is a scale of measurement that is based on the UTC Date format, but accepts variety of data formats. Triple Exponential Moving Average (TRIX).Moving Average Convergence Divergence (MACD).
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