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Fractal SR Clusters

30 USD

Demo downloaded: 214

Published: 28 April 2014

Current version: 1.2

Fractal SR Clusters

Indicators
Daniel Shea
Version: 1.2
Updated: 28 March 2020
Activations: 5

Fractal Support/Resistance Clusters is an indicator that draws support and resistance lines based on fractals whose sources have not yet been broken and are therefore still relevant. A fractal is relevant as an indicator of support or resistance when the price of its previous opposing fractal has not been broken.

Clusters of support and resistance zones are derived using the density-based spatial clustering of applications with noise (DBSCAN) algorithm and can be drawn on the screen. These clusters use the standard deviation of the price as bounds. For more information concerning the algorithm itself, see the Wikipedia page: http://en.wikipedia.org/wiki/DBSCAN

If desired, alerts may be enabled to notify the user of a bullish or bearish breakout when it occurs. A breakout is defined as an instance in which the closing price of the previous bar is outside of a cluster while the closing price of the bar prior to that is within a cluster. Breakouts can be defined by either an arbitrary point break or relative to the standard deviation of the price based on the cluster settings.

For general purposes, the default settings should suffice.

Parameters

Main Indicator Settings:

LookBack - the number of bars to look back to find relevant fractals
SupportColor - the color of the support lines
ResistanceColor - the color of the resistance lines
SRLineWidth - the width of the support and resistance lines
ShowPrice - if true, displays the price on the right side of the window

Cluster Settings:

ShowClusters - whether clusters should be calculated at all
StdDevPeriod - the period used to derive the standard deviation of the price
StdDevSigma - the amount, by which the standard deviation should be multiplied
DrawBoundsByStdDev - if true, then boundaries for cluster regions are drawn based on the distance, by which a cluster region searches for more members; this is recommended for greater timeframes
PointDistance - the distance in points that should be used to draw bounds for cluster regions; this is used if the previous parameter is set to false and is recommended for lower timeframes
ClusterColor - the color of the cluster boundary lines
ClusterLineWidth - the width of the cluster region lines

Alert Settings:

AlertOnBreakout - notify the user when there is a cluster breakout

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