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“A single spark fades in the wind, but a fire of many flames lights up the night.”
In this context, clustering means automatically grouping together several closely related lines (e.g., Breaker Blocks) into a single “cluster.” Instead of showing each line individually, you see combined blocks or areas, simplifying the chart and making it more readable.
When multiple lines appear in a small area, it can clutter your chart. Clustering helps you consolidate overlapping or adjacent lines into one cluster, so you get an at-a-glance understanding of the strongest zones, rather than a sea of individual lines.
Type: Checkbox
Description: Determines whether closely spaced or overlapping clusters are automatically merged into a single cluster.
Type: Numeric input
Description: Sets the length for calculating the Average True Range (ATR).
Type: Numeric input
Description: Multiplies the ATR to define a threshold (cluster_threshold_price
) for the price distance between lines.
Threshold = 1
, cluster_threshold_price = ATR * 1
.Type: Numeric input
Description: Multiplies the time factor (time_multi
) to define the time distance threshold between lines.
Type: Checkbox
Description: Indicates whether to sum up all timeframes (in seconds) across clustered lines and display the total in the cluster label.
Type: Checkbox
Description: Toggles additional statistical info in the label.
The value on the far right in the square brackets is the current name of the cluster. This is important for alarms so that they can be clearly assigned.
Type: Numeric input
Description: Sets the maximum number of box objects that can be displayed in the chart.
The order of the labels follows the sequence of the 38 timeframes in the settings. A cluster should always be viewed as a single unit. Therefore, clusters should be defined as small as possible so that the internal structure does not become relevant. If a cluster is too large, it should be redefined on a lower timeframe. In other words, if the order of the order blocks within a cluster becomes important, then the cluster is too large.
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