Skip to main content

Kirshenbaum Bands VertexFX Indicator

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.

Comments

Post a Comment

Popular posts from this blog

RSIofPSAR VertexFX Indicator

RSIofPSAR is a VertexFX indicator that identifies trend reversals, it is based on two underlying indicators namely the Parabolic Stop-And-Reverse (PSAR) and the Relative Strength Index (RSI). The PSAR indicator is very useful in trend-following techniques when the trend is clear. However, it leads to whipsaws in sideways markets leading to losses. The RSI indicator is useful in identifying trend reversals and sideways markets. RSIofPSAR is created by combining these characteristics from the two indicators providing use with a composite indicator the identifies trend reversals. In the first step, we calculate the Parabolic Stop-And-Reverse (PSAR) of the price series. In the next step, we calculate the Relative Strength Index (RSI) of the PSAR calculated in the previous step. Instead of calculating the RSI using the standard technique, we use a smoothing co-efficient to eliminate the lag. The RSIofPSAR is a bounded oscillator ranging between 0 and 100. It turns BLUE when it is rising an...
Post a Comment
Read more

SVEStochastic RSI VertexFX Indicator

The SVEStochasticRSI is a powerful VertexFX client-side indicator that identifies market cycles and the strength of a trend. As the name implies, it is an enhancement of the Stochastic RSI and was originally created by Sylvain Vervoort. The main advantage over the traditional StochasticRSI is that the method of calculating the RSI in this indicator is more responsive to price changes. As a result the lag is minimal. In the first step we calculate the RSI using the enhanced SVE method. We use a smoothing co-efficient ALPHA, which is the square-root of the reciprocal period for calculating the RSI. The price changes used to calculate the normal RSI are multiplied by the smoothing co-efficient to derive the SVE RSI. In the next step we calculate the Stochastic value of this RSI which is called the SVEStochasticRSI. The advantage of applying the Stochastic indicator to the RSI is that is when the price starts trending the indicator starts moving upwards or downwards very quickly thereby h...
Post a Comment
Read more

Kauffman Volatality VertexFX Indicator

Kaufman Volatility indicator is a VertexFX client-side indicator script that provides a measure of volatility and in identifying the current stage of the market. This indicator was designed by Perry Kaufman and is used in combination with other indicators to estimate stop-loss and volatility characteristics of the market. When the market is in a consolidation phase, the Kaufman Volatility indicator is dropping in value. On the contrary, when the market is trending strongly (either bullish or bearish) the Kaufman Volatility indicator is rising. It does not provide us with the direction of the trend, but only the strength of the trend. To calculate the Kaufman Volatility, we first find the absolute difference in the Close of the current candle from the previous candle. This absolute difference is then added over the recent PERIOD bars to derive the Kaufman Volatility indicator. The Kaufman Volatility indicator does not provide BUY or SELL signals. BUY - This indicator does ...
Post a Comment
Read more