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Squeeze 5 *
Version 1.0

gemSqueeze is a modified squeeze indicator that also brackets bars during the squeeze to help visually identify breakouts.


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April 12th, 2020
Size: 15.29 KB
Downloaded: 993 times

Keywords: breakout momentum squeeze volatility
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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May 9th, 2018
Size: 2.54 KB
Downloaded: 668 times

Keywords: normalized oscillator standarddeviation volatility zscore
Multiple Keltner Channels (amaMultiKeltner) 5 *
Version 1.6 November 25, 2017

The Multiple Keltner Channels are a generalized version of the Keltner Channels.

Standard Keltner channels are built from a simple moving average (SMA) and two channels lines above and below. The two lines above and below are drawn at a distance from the center line, a distance which is a multiple of the simple moving average of the ranges of the past N bars.

The generalized concept has the SMA replaced with any of 30 moving averages. The volatility measure used to calculate the distance of upper and lower line from the center line can be derived from an average range (AR) or average true range (ATR). You may select different lookback periods for the moving average that serves as the center line and the moving average which is applied to the range or true range.

The Multiple Keltner Channels come with an additional smoothing option for center line and channel lines. The additional smoothing is obtained by further smoothing all plots with a 3-period simple moving average (SMA).



Moving averages available for calculating the center line:

- Adaptive Laguerre Filter
- ADXVMA
- Butterworth Filter
- DEMA
- Distant Coefficient Filter
- Double Weighted Moving Average (DWMA)
- Exponential Hull Moving Average (EHMA)
- EMA
- Gaussian Filter
- HMA
- Holt EMA
- Laguerre Filter
- LinReg
- Moving Mean TPO
- Moving Median
- Moving Median TPO
- Range Weighted Moving Average (RWMA)
- Sine Weighted Moving Average (SWMA)
- SMA
- SuperSmoother
- TEMA
- Tillson T3
- TMA
- Triple Weighted Moving Average (TWMA)
- Wilder's Average
- WMA
- ZerolagHATEMA
- ZerolagTEMA
- ZLEMA

Moving averages colored according to slope: You may also use this indicator to display any of the above listed moving averages and color them according to slope. The slope is not based on a geometrical concept, as this would not be compatible with the scalability of modern charting applications. The indicator adjusts slope to bar volatility such that the indicator may be used across all instruments and bar types with the same settings. The slope is shown as upsloping, downsloping or flat. The degree of flatness which is still considered as being flat may be adjusted via the neutral threshold parameter. When you set that parameter to zero, the slope will not show any flat sections, but the moving average will always be identified as upsloping or downsloping. Channel lines may be unselected, if you just wish to display the selected moving average.

Volatility measures: The standard Keltner channel uses the range. This indicator also for substituting the range with the average true range. The average true range is used as default option to facilitate the application of the Multiple Keltner Channels to other indicators.

Applying the Multiple Keltner Channels to indicators: When an indicator is used as input series, the range will always return the value 0. However, the average true range will return the absolute amount of the difference of two neighbouring data points of the selected input series. Therefore the indicator may only be applied to other indicators, as long as the offset formula is set to "True_Range".

Paint Bars: The Multiple Keltner Channel indicator comes with paint bars. The paint bars are colored according to the slope of the center line. The paint bars may be displayed without the indicator plots. The colors of the paint bar will then show the slope of the moving average selected as center line.

Sound Alerts: In case that the sound alerts are active, the indicator will alert you when the trend derived from the slope of the center line changes. Currently, there are no sound files included with the zip file, but it is easy to create them and copy them to the NinjaTrader sounds directory.


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Details: Multiple Keltner Channels (amaMultiKeltner)
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November 25th, 2017
Size: 81.22 KB
Downloaded: 1377 times

Keywords: channel keltner keltnerchannel movingaverage range slope truerange volatility
ADXVMA (amaADXVMA) 5 *
Version 1.1 August 1, 2017

The Average Directional Index Variable Moving Average (ADXVMA) is a volatiltiy based moving average with the volatility being determined by the value of the ADX. The ADX provides levels of support during uptrends and resistance during downtrends. The indicator may also be used as a trendfilter. The trend can be positive, negative or neutral.

The ADXVMA that can be downloaded here may also be used with other input series than price. The trend can be shown via paint bars and is exposed as a public property.

Note: The ADXVMA has the trend exposed as a public property. This property can be accessed programmatically. However, it cannot be currently accessed via the market analyzer. In order to access the Trend series via the market analyzer, a specific MarketAnalyzerColumn is required. The MarketAnalyzerColumn is not yet included with the install file, as it has led to freezes with NT 8.0.8.0. The bug has been confirmed by NinjaTrader developers and only fixed with the latest release NT 8.0.9.0. (issue #12054). The market analyzer column and sound files for the ADXVMA will be availabe with a future update.


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Details: ADXVMA (amaADXVMA)
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October 21st, 2017
Size: 11.37 KB
Downloaded: 1193 times

Keywords: adaptive adx movingaverage resistance support vidya vma volatility
Range Weighted Moving Average (amaRWMA) 5 *
Version 1.0 March 12, 2017

The Range Weighted Moving Average (RWMA) is weighted moving average which uses the square of the range of the bar as weighting factor. The exact formula for the weighting factor has the bar range replaced with the number of tick levels covered by the bar.

Volatility is driven by volume and is approximately proportional to the square root of volume. Therefore it is possible to use the squared range as a proxy for volume. This is interesting when genuine volume figures are not available. This would be the case

- for FOREX data that comes without historical backfill for volume
- for instruments that are driven by other markets outside of the regular session

In these cases the VWMA may be distorted, whereas the RWMA will still return proper results.


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Details: Range Weighted Moving Average (amaRWMA)
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October 20th, 2017
Size: 2.68 KB
Downloaded: 442 times

Keywords: average moving range rwma volatility vwma weighting
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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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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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)
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September 4th, 2017
Size: 9.89 KB
Downloaded: 1317 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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September 4th, 2017
Size: 9.72 KB
Downloaded: 3219 times

Keywords: quarterrange session standarddeviation volatility volume volumeweighted vwap
Chande Kroll Stop 5 *
Exported using NT Version 7.0.1000.30

This is an implementation of the volatiliy based stop that was suggested by Tushar Chande and Stanley Kroll in their book "The New Technical Trader". The indicator comes with a long stop line (blue) and and a short stop line (red).

Calculation of long stop: The preliminary long stop is calculated by deducting a multiple of a 10-period ATR from the highest high of the last 10 bars. The long stop is then calculated as the highest of the last 20 preliminary long stops.

Calculation of short stop: The preliminary short stops are calculated by adding a ,ultiple of a 10-period ATR to the lowest low of the last 10 bars. The short stop is then calculated as the lowest of the last 20 perliminary short stops.

Calculation of ATR: The ATR can be calculated in three different ways. "Arithmetic" uses a simple moving average over the last 10 true ranges. "Exponential" uses an exponential moving average over the last 10 true ranges, while "Wilder" simply calculates the default ATR(10) which is calculated as exponential moving averages with a smaller smoothing constant.

Default settings: Default settings follow suggestions by Chande & Kroll. Following suggestions in their book the default parameters are 10, 3 and 20. Also they used a simple moving average for smoothing the true ranges. The only change that was necessary was to adapt the indicator so that it can be used intra-bar. For this purpose, the calculation does not use the (unstable) true range of the current bar nor the high of the current bar, but relies on the values for the prior bar. Just for the purpose to compare the indicator with implementations for other charting packages, it is also possible to perform calculations from the current unstable bar. When used with "COBC = False" or with the strategy analyzer (backtesting), the default settings should be used.




It is recommended to use the


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October 14th, 2015
Size: 13.73 KB
Downloaded: 745 times

Keywords: atr averagetruerange chande kroll stop trailing volatility
 



 
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