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Traders Dynamic Index (amaTradersDynamicIndex) 5 *
Version 1.2 September 16, 2017

The Traders Dynamic Index (TDI) is a trend following momentum indicator based on the RSI. It was developed and presented by Dean Malone. The Traders Dynamic Index comes with the following plots

- the Priceline, which is a SMA(2) of RSI(13)
- the Signalline, which is a SMA(7) of RSI (13)
- the Midband, which is a SMA(34) of RSI (13)
- Bollinger Bands around the SMA(34) using a standard deviation multiplier of 1.62

The following combinations may be considered as trade rules:

- go long, if Priceline > 50
- go short if Priceline < 50
- consider an exit, if Priceline is above 68 or below 32

- go long if Priceline > Signalline
- go short if Priceline < Signalline
- exit if Priceline crosses Signalline

- trendfilter long, when Priceline > Midband
- trendfilter short, when Priceline < Midband

- add to long, when Priceline > upper Bollinger Band
- add to short, when Priceline < lower Bollinger Band

Detailed rules how to use the Traders Dynamic Index have been published by Dean Malone within the framework of the E.A.S.Y. trading method.


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Details: Traders Dynamic Index (amaTradersDynamicIndex)
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September 16th, 2017
Size: 8.24 KB
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Keywords: bollinger bollingerbands oscillator rsi tdi tradersdynamicindex
William Blau Double Smoothed Momentum
Exported using NT Version 7.0.1000.22

The indicator shows the Double Smoothed Momentum - see Stocks & Commodities, May 1991.

Blau Double Smoothed Momentum (DSM-B): The raw Stochastics is calculated as the percentage value for the close within the range created from the highest close and the lowest close over the lookback period. The term "Double Smoothed Momentum" is somewhat misleading. The DSM-B is obtained by separately double-smoothing both numerator and denominator of the raw Stochastics. The double-smoothed value for the numerator is then divided by the double-smoothed value for the denominator.

Stochastics Smoothing: William Blau twice applied an EMA to both numerator and denominator of the raw Stochastics. This indicator allows to use 30 different moving averages for the smoothing. The same moving average type is used for the first and the second average calculation.

Parameters: The lookback period for the raw Stochastics indicates the number of bars for which the highest close and lowest close is determined. The lookback period is comparable to all other Stochastics indicators. The default value is 14 bars. The double smoothing of numerator and denominator is done with two moving averages. The first smoothing is typically done with a faster moving average, the second with a slower moving average.

Signal line: William Blau did not use a signal line for the double smoothed indicators. I have added the signal line, because the cross of the signal line can be used as a trend indication. Moving average type and period for the signal line can be selected.

Histogram: The indicator has an option to plot a histogram, which shows the difference between DSM and signal line.

Trend definition: The indicator exposes the current trend via an IntSeries. The trend can be determined based on the DSM (rising & not oversold, falling & not overbought, neutral), the signal line (rising & not oversold, falling & not overbought, neutral)) or the DSM / signal line crosses. All trend definitions are not straightforward, but require a higher close to switch to an uptrend, or a lower close to switch to a downtrend. Moreover the DSM / signal line cross will only show an uptrend, when not oversold and a downtrend when not overbought.

Paint bars: The paintbars can be used to plot the trend information. The trend states are uptrend, downtrend and neutral trend as explained above. It is possible to apply the indicator to the price panel and unselect the indicator plots. This allows to use the indicator as a "paintbar only" indicator.

Sound alerts: The indicator comes with sound alerts which are triggered when the trend changes. The sound files are included with the zip file and should be manually copied into the directory Documents -> program files (x86) -> NinajTrader 7 -> sounds.


Category NinjaTrader 7 Indicators 
 
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Details: William Blau Double Smoothed Momentum
Category: NinjaTrader 7 Indicators 


March 13th, 2014
Size: 168.80 KB
Downloaded: 700 times

Keywords: blau double-smoothed ergodic momentum oscillator stochastics
William Blau Double Smoothed Stochastics 5 *
Exported using NT Version 7.0.1000.22

The indicator allows to display the Double Smoothed Stochastics - see Stocks & Commodities, January 1991. The Double Smoothed Stochastics as introduced by William Blau should not be confused with the better known Double Smoothed Stochastics (DSS) indicator by Walter Bressert.

Blau Double Smoothed Stochastics (DSS-B): The raw Stochastics is calculated as the percentage value for the close within the range created from the highest high and the lowest low over the lookback period. The DSS-B is obtained by separately double-smoothing both numerator and denominator of the raw Stochastics. The double-smoothed value for the numerator is then divided by the double-smoothed value for the denominator.

Stochastics Smoothing: William Blau twice applied an EMA to both numerator and denominator of the raw Stochastics. This indicator allows to use 30 different moving averages for the smoothing. The same moving average type is used for the first and the second average calculation.

Parameters: The lookback period for the raw Stochastics indicates the number of bars for which the highest high and lowest low is determined. The lookback period is comparable to all other Stochastics indicators. The default value is 14 bars. The double smoothing of numerator and denominator is done with two moving averages. The first smoothing is typically done with a faster moving average, the second with a slower moving average.

Signal line: William Blau did not use a signal line for the double smoothed indicators. I have added the signal line, because the cross of the signal line can be used as a trend indication. Moving average type and period for the signal line can be selected.

Histogram: The indicator has an option to plot a histogram, which shows the difference between DSs and signal line.

Trend definition: The indicator exposes the current trend via an IntSeries. The trend can be determined based on the DSS (rising & not oversold, falling & not overbought, neutral), the signal line (rising & not oversold, falling & not overbought, neutral)) or the DSS / signal line crosses. All trend definitions are not straightforward, but require a higher close to switch to an uptrend, or a lower close to switch to a downtrend. Moreover the DSS / signal line cross will only show an uptrend, when not oversold and a downtrend when not overbought.

Paint bars: The paintbars can be used to plot the trend information. The trend states are uptrend, downtrend and neutral trend as explained above. It is possible to apply the indicator to the price panel and unselect the indicator plots. This allows to use the indicator as a "paintbar only" indicator.

Sound alerts: The indicator comes with sound alerts which are triggered when the trend changes. The sound files are included with the zip file and should be manually copied into the directory Documents -> program files (x86) -> NinajTrader 7 -> sounds.

Update March 13, 2014: Trend filter modified. Histogram added.


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Details: William Blau Double Smoothed Stochastics
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March 14th, 2014
Size: 168.82 KB
Downloaded: 1274 times

Keywords: blau ergodic oscillator double-smoothed momentum stochastics
Z-score (amaZScore) 5 *
Version 1.3 September 25, 2017

The Z-score or standard score is a numerical measurement of a value’s relationship to the arithemic mean of the data set. The Z-score is the signed number of standard deviations by which the current value of a data point is above the mean value or below the mean value as calculated for the selected lookback period.

For a normally distributed sample 95.8% of the z-scores of all data points fall within the range [-2, +2]. A Z-score of 0 indicates that the data point is identical with the arithmetic mean of the data set.

The Z-score is a normalized oscillator that can be used to identify extreme readings of the input series. The Z-score is calculated by dividing the absolute difference between a data point and the arithmetic mean by the standard deviation.

One of the main applications of the Z-score is that it can be used to normalize any oscillator. For example, the MACD is a non-normalized oscillator which does not pass the c-test introduced by William Eckhardt. However, when the Z-score is used to normalize the MACD, the resulting oscillator uses a normalized scale and will pass the c-test. The normalized MACD is obtained, when the MACD is used as the input series for the Z-score.


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Details: Z-score (amaZScore)
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May 9th, 2018
Size: 2.54 KB
Downloaded: 916 times

Keywords: normalized oscillator standarddeviation volatility zscore
 



 
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