NinjaTrader 7 Indicators - Double Smoothed Stochastics
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NinjaTrader 7 Indicators
Indicators in this section are compatible with NinjaTrader 7

Double Smoothed Stochastics 5 *
Exported using NT Version 7.0.1000.11

The Double Smoothed Stochastics (DSS) is an exponentially smoothed stochastics indicator applied to an exponentially smoothed stochastics. It has been popularized by Walter Bressert. The DSS can be used as a cycle indicator. Usually first a cycle analysis is performed. The DSS should then be applied with half the cycle period of the dominant cycle. Walter Bressert uses the indicator with default periods of 10 and 5, and calls them DBS10 and DBS5.

This indicator is a modified version of the Double Stochastics NinjaTrader default indicator. I have coded it for various reasons.

EMA period: The NinjaTrader default DSS uses an EMA period of 3. This setting cannot be changed. However, nearly all other versions of the DSS use an EMA period between 8 and 10. This version uses a default period of 9, which can be changed.

Coding Inefficiencies: The NinjaTrader default DSS is highly inefficient, when running with COBC = false, because both MAX and MIN methods are performed twice with every incoming ticks. I have changed the algorithm to increase the speed.

Signal Line: I have added a signal line to the DSS. The signal line is generated as an EMA of the DSS, in the same way as it is generated for the MACD.

Rising and Falling Colors: The indicator will plot in different colors, depending on whether the Double Stochastics is rising or falling.

You can put a slow and a fast Double Stochastics indicator on your chart, then use the slow one as trend filter and the fast one for timing the entry signals.

Update March 6, 2013: Code efficiency improved, signal line added.
Update March 7, 2013: Bug removed, indicator displayed false values with COBC = false.

Category NinjaTrader 7 Indicators 
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Details: Double Smoothed Stochastics
Category: NinjaTrader 7 Indicators 

March 7th, 2013
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Keywords: cycles doublestochastics stochastics


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