The Kirshenbaum Bands is a powerful VertexFx client-side indicator which attempts to reduce the lag and enhance the accuracy of the Bollinger Bands. It is an improvement over the Bollingers Bands and is used primarily to identify trend reversals.
One of the main disadvantages of the Bollinger Bands is that it has lag and is slow to respond to trend reversals. The standard deviation is calculated in a linear fashion - the recent price movements have the same weightage as older price movements. As a result, it is slow to respond to the recent price movements. The Kirshenbaum Bands overcomes this issue and giving a higher weightage to the recent price movements. Likewise, if uses Exponential Moving Average (EMA) as compared to the Simple Moving Average (SMA) of the Bollinger Bands. Since higher weightage is given to recent price movements, Kirshenbaum Bands responds to trend reversals quickly.
In the first step, we calculate the moving average of the specified price field (BAND_PRICE) over the recent candles (BAND_PERIOD) based on the moving average method (BAND_METHOD). By default we use Exponential Moving Average as it yields better performance.
In the second step, we calculate the standard deviation. However, instead of using equal weightage, the recent candles are assigned higher weightage. So, if the BAND_PERIOD is set to 21, then the recent error-mean is multiplied by 21, the previous one by 20 and so on. Finally, we calculate the standard deviation.
The upper band is calculated by multiplying the standard deviation with its multiplier and adding it to the moving average. Similarly, the lower band is calculated by multiplying the standard deviation with its multiplier and subtracting it from the moving average.
Compared to the Bollinger Bands, it has greater response to price movements and can identify reversals
BUY / EXIT SHORT - Enter LONG (or exit SHORT) at the close of the candle when the price closes above the lower Kirshenbaum Band (RED) from below. The stop-loss can be set to the nearest Swing Low.
SHORT / EXIT LONG - Enter SHORT (or exit LONG) at the close of the candle when the price closes below the upper Kirshenbaum Band (GREEN) from above. The stop-loss can be set to the nearest Swing Low.
One of the main disadvantages of the Bollinger Bands is that it has lag and is slow to respond to trend reversals. The standard deviation is calculated in a linear fashion - the recent price movements have the same weightage as older price movements. As a result, it is slow to respond to the recent price movements. The Kirshenbaum Bands overcomes this issue and giving a higher weightage to the recent price movements. Likewise, if uses Exponential Moving Average (EMA) as compared to the Simple Moving Average (SMA) of the Bollinger Bands. Since higher weightage is given to recent price movements, Kirshenbaum Bands responds to trend reversals quickly.
In the first step, we calculate the moving average of the specified price field (BAND_PRICE) over the recent candles (BAND_PERIOD) based on the moving average method (BAND_METHOD). By default we use Exponential Moving Average as it yields better performance.
In the second step, we calculate the standard deviation. However, instead of using equal weightage, the recent candles are assigned higher weightage. So, if the BAND_PERIOD is set to 21, then the recent error-mean is multiplied by 21, the previous one by 20 and so on. Finally, we calculate the standard deviation.
The upper band is calculated by multiplying the standard deviation with its multiplier and adding it to the moving average. Similarly, the lower band is calculated by multiplying the standard deviation with its multiplier and subtracting it from the moving average.
Compared to the Bollinger Bands, it has greater response to price movements and can identify reversals
BUY / EXIT SHORT - Enter LONG (or exit SHORT) at the close of the candle when the price closes above the lower Kirshenbaum Band (RED) from below. The stop-loss can be set to the nearest Swing Low.
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