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NinjaTrader 8 Indicators and More
Indicators and Files in this section are compatible with NinjaTrader 8

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Laguerre Filter (amaLaguerreFilter) 5 *
Version 1.0 March 6, 2017

This is a four element Laguerre Filter as described by John Ehlers in his paper "Time Warp - Without Space Travel".

The Laguerre Filter is a smoothing filter based on Laguerre polynomials. Its first term is an EMA, which is then further smoothened with a damping factor. The damping factor may take any value between 0 and 1. When the damping factor is set to 0, the Laguerre Filter becomes a finite impulse response (FIR) filter. When the damping factor is set to a value close to 1, the filter becomes dramatically smoother, but will have a significant lag.

The indicator that can be downloaded here is a four element Laguerre Filter. I have replaced the damping factor with a synthetic lookback period which allows for adjusting smoothness and lag. A lookback period of 1 corresponds to a simple 4-period triangular moving average.

LaguerreFilter(1) = TMA(4)

When the synthetic lookback period is increased, the filter becomes smoother but has a slower response to price changes.
 		 
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Details: Laguerre Filter (amaLaguerreFilter)


October 20th, 2017
Size: 2.67 KB
Downloaded: 375 times

Keywords: damping filter iir laguerre polynomials
MurreyMath Lines for NT8 5 *
MMv1.5.1 from NT7 Converted to NT8 as a paid job, a friend and I had this done by member Sagor here and he was great to work with.

A few small additions such as the ability to change the frame period/lookback added. Uploaded here with thanks for all others' hard work on indicators and conversions provided - Japhro and Scotty
 		 
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Details: MurreyMath Lines for NT8


September 16th, 2017
Size: 8.59 KB
Downloaded: 1371 times
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)


September 16th, 2017
Size: 8.24 KB
Downloaded: 1616 times

Keywords: bollinger bollingerbands oscillator rsi tdi tradersdynamicindex
Gaussian Filter (amaGaussianFilter) 5 *
Version 1.1 September 5, 2017

Gaussian Filter as described by John Ehlers in his paper "Gaussian and Other Low Lag Filters".

https://www.mesasoftware.com/papers/GaussianFilters.pdf

You may set the number of poles in the filter to 1,2,3 or 4. A 1-pole filter will have a better approximation to price, whereas the 4-pole filter has superior smoothing.

To emulate the original Gaussian filter presented by John F. Ehlers, please select the PriceType "Median" as Input Series.
 		 
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Details: Gaussian Filter (amaGaussianFilter)


September 5th, 2017
Size: 2.84 KB
Downloaded: 473 times

Keywords: filter gaussian iir movingaverage
SessionVWAP Bimonthly/Quarterly/Annual (amaNMonthlyVWAP) 5 *
Version 2.0 August 11, 2017

The N-Monthly VWAP is the volume-weighted average price (VWAP) of a security for the selected N-month period. The VWAP gives a fair reflection of the market conditions throughout the selected period and is one of the most popular benchmarks used by large traders.

The N-Monthly VWAP can be set to calculate for the entireperiod or it can be set to calculate for custom hours such as the regular session only. The VWAP further comes with volume-weighted standard deviation bands or quarter range bands. Although the VWAP uses volume information, it is best set to “Calculate” = “On price change”. It is not necessary to recalculate it with each incoming tick.

Trading hours template: The trading hours template should be set to <instrument settings> or any other trading hours template that reflects the contractual trading hours of the instrument.

Full_Session: The VWAP will be calculated for the full session as selected per trading hours template.

Custom_Hours: You may select custom hours for calculating the VWAP in different time zones.

Standard_Deviation: The volatility bands are calculated as a selectable multiple of the standard deviation, where the standard deviation is calculated for the selected session and week.

Quarter_Range: The volatility bands are calculated as a selectable multiple of the quarter range for the current month.

Accuracy: The indicator calculates both VWAP and volatility bands from the primary bars shown on the chart. All data points of each bar are used for the calculation in order to obtain the best possible result. However, accuracy also depends on the chart resolution. Accuracy increases as trading volume accumulates.
 		 
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Details: SessionVWAP Bimonthly/Quarterly/Annual (amaNMonthlyVWAP)


September 5th, 2017
Size: 10.14 KB
Downloaded: 1421 times

Keywords: annual bimonthly monthly quarterly quarterrange semiannual session standarddeviation volatility volume volumeweighted vwap
SessionVWAP Monthly (amaCurrentMonthVWAP) 5 *
Version 2.0 August 11, 2017

The Current Month VWAP is the volume-weighted average price (VWAP) of a security for the current month. The VWAP gives a fair reflection of the market conditions throughout the trading month and is one of the most popular benchmarks used by large traders.

The Current Month VWAP can be set to calculate for the entire trading month or it can be set to calculate for custom hours such as the regular session only. The VWAP further comes with volume-weighted standard deviation bands or quarter range bands. Although the VWAP uses volume information, it is best set to “Calculate” = “On price change”. It is not necessary to recalculate it with each incoming tick.

Trading hours template: The trading hours template should be set to <instrument settings> or any other trading hours template that reflects the contractual trading hours of the instrument.

Full_Session: The VWAP will be calculated for the full session as selected per trading hours template.

Custom_Hours: You may select custom hours for calculating the VWAP in different time zones.

Standard_Deviation: The volatility bands are calculated as a selectable multiple of the standard deviation, where the standard deviation is calculated for the selected session and week.

Quarter_Range: The volatility bands are calculated as a selectable multiple of the quarter range for the current month.

Accuracy: The indicator calculates both VWAP and volatility bands from the primary bars shown on the chart. All data points of each bar are used for the calculation in order to obtain the best possible result. However, accuracy also depends on the chart resolution. Accuracy increases as trading volume accumulates.
 		 
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Details: SessionVWAP Monthly (amaCurrentMonthVWAP)


September 5th, 2017
Size: 9.93 KB
Downloaded: 1344 times

Keywords: monthly quarterrange session standarddeviation volatility volume volumeweighted vwap
SessionVWAP Weekly (amaCurrentWeekVWAP) 5 *
Version 2.0 August 11, 2017

The Current Week VWAP is the volume-weighted average price (VWAP) of a security for the current week. The VWAP gives a fair reflection of the market conditions throughout the trading week and is one of the most popular benchmarks used by large traders.

The Current Week VWAP can be set to calculate for the entire trading week or it can be set to calculate for custom hours such as the regular session only. The VWAP further comes with volume-weighted standard deviation bands or quarter range bands. Although the VWAP uses volume information, it is best set to “Calculate” = “On price change”. It is not necessary to recalculate it with each incoming tick.

Trading hours template: The trading hours template should be set to <instrument settings> or any other trading hours template that reflects the contractual trading hours of the instrument.

Full_Session: The VWAP will be calculated for the full session as selected per trading hours template.

Custom_Hours: You may select custom hours for calculating the VWAP in different time zones.

Standard_Deviation: The volatility bands are calculated as a selectable multiple of the standard deviation, where the standard deviation is calculated for the selected session and week.

Quarter_Range: The volatility bands are calculated as a selectable multiple of the quarter range for the current week.

Accuracy: The indicator calculates both VWAP and volatility bands from the primary bars shown on the chart. All data points of each bar are used for the calculation in order to obtain the best possible result. However, accuracy also depends on the chart resolution. Accuracy increases as trading volume accumulates.
 		 
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Details: SessionVWAP Weekly (amaCurrentWeekVWAP)


September 4th, 2017
Size: 9.89 KB
Downloaded: 1693 times

Keywords: session standarddeviation volatility volume volumeweighted vwap weekly
SessionVWAP Daily (amaCurrentDayVWAP) 5 *
Version 2.5 October 27, 2019

The Current Day VWAP is the volume-weighted average price (VWAP) of a security for the current day’s trading session. The VWAP gives a fair reflection of the market conditions throughout the trading day and is probably the most popular benchmark used by large traders.

The Current Day VWAP can be set to calculate for the entire trading day or it can be set to calculate for custom hours such as the regular session only. The VWAP further comes with volume-weighted standard deviation bands or quarter range bands. Although the VWAP uses volume information, it is best set to “Calculate” = “On price change”. It is not necessary to recalculate it with each incoming tick.

Trading hours template: The trading hours template should be set to <instrument settings> or any other trading hours template that reflects the contractual trading hours of the instrument.

Full_Session: The VWAP will be calculated for the full session as selected per trading hours template.

Custom_Hours: You may select custom hours for calculating the VWAP in different time zones.

Standard_Deviation: The volatility bands are calculated as a selectable multiple of the standard deviation, where the standard deviation is calculated for the selected session.

Quarter_Range: The volatility bands are calculated as a selectable multiple of the quarter range for the current session.

Accuracy: The indicator calculates both VWAP and volatility bands from the primary bars shown on the chart. All data points of each bar are used for the calculation in order to obtain the best possible result. However, accuracy also depends on the chart resolution. Accuracy increases as trading volume accumulates. Therefore it is recommended to select an early anchor point and only use VWAP and volatility bands once they have stabilized.
 		 
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Details: SessionVWAP Daily (amaCurrentDayVWAP)


September 4th, 2017
Size: 9.72 KB
Downloaded: 4282 times

Keywords: quarterrange session standarddeviation volatility volume volumeweighted vwap
Holt EMA (amaHoltEMA) 5 *
Version 1.0 March 6, 2017

The Holt EMA is a trend corrected exponential moving average based on a double exponential smoothing model.

Holt’s paper, “Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages” was published in 1957 in O.N.R. Research Memorandum 52, Carnegie Institute of Technology.

The tools developed by Holt & Winters are mainly used for forecasting time series.
 		 
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Details: Holt EMA (amaHoltEMA)


September 4th, 2017
Size: 2.56 KB
Downloaded: 432 times

Keywords: ema exponentialsmoothing forecast holtema movingaverage smoothing
Double Weighted Moving Average (amaDWMA) 5 *
Version 1.0 March 6, 2017

The Double Exponential Moving Average (DEMA) was first presented by Patrick Mulloy in "Stocks & Commodities" in 1994. It attempts to offer a smoothed average with less lag than a straight exponential moving average.

The Double Weighted Moving Average (DWMA) replicates the DEMA formula, applying it to the WMA (weighted moving average) instead of the EMA.
 		 
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Details: Double Weighted Moving Average (amaDWMA)


September 4th, 2017
Size: 3.89 KB
Downloaded: 314 times

Keywords: dema dwma exponential movingaverage weighted
 

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