[blackcat] L3 Gradient Swings of Bull and Bear
Level 3
Background
Some friends in the TradingView community say that my technical indicators are too complicated to write. Is there anything that is easy to use? This time I will publish a simple indicator to use.
Function
This indicator uses a custom stochastic indicator as its initial value. Calculate the difference between the short-term and long-term EMA moving averages twice. Find the geometric mean of the above values and calculate the variance value. According to this algorithm, two sets of variance values are calculated respectively, one is the fast line and the other is the slow line. Finally, the 22-period EMA of the fast and slow lines is used as the final output value. This output can effectively reflect the band characteristics of the price.
Because this output is relatively smooth, it can effectively filter out clutter noise, so you can clearly see the shape of the entire band. Go long during an uptrend and go short on the contrary. I use red and green gradients for longs and shorts respectively. The entry points are identified by red and green labels at the start of the band. In addition, the filtered peaks and troughs are also the basis for technical divergence judgments, so I added divergence identification lines.
The disadvantage of this indicator is that it is prone to many interference signals in the sideway stage. In order to filter out these signals and extract only useful trend signals, the user can enter a threshold in the settings dialog and select an appropriate display threshold in combination with the amplification factor. This way the part between 0 and the threshold will be grayed out. The gray area is the sideway, where the signal can be ignored.
Remarks
Feedbacks are appreciated.
Background
Some friends in the TradingView community say that my technical indicators are too complicated to write. Is there anything that is easy to use? This time I will publish a simple indicator to use.
Function
This indicator uses a custom stochastic indicator as its initial value. Calculate the difference between the short-term and long-term EMA moving averages twice. Find the geometric mean of the above values and calculate the variance value. According to this algorithm, two sets of variance values are calculated respectively, one is the fast line and the other is the slow line. Finally, the 22-period EMA of the fast and slow lines is used as the final output value. This output can effectively reflect the band characteristics of the price.
Because this output is relatively smooth, it can effectively filter out clutter noise, so you can clearly see the shape of the entire band. Go long during an uptrend and go short on the contrary. I use red and green gradients for longs and shorts respectively. The entry points are identified by red and green labels at the start of the band. In addition, the filtered peaks and troughs are also the basis for technical divergence judgments, so I added divergence identification lines.
The disadvantage of this indicator is that it is prone to many interference signals in the sideway stage. In order to filter out these signals and extract only useful trend signals, the user can enter a threshold in the settings dialog and select an appropriate display threshold in combination with the amplification factor. This way the part between 0 and the threshold will be grayed out. The gray area is the sideway, where the signal can be ignored.
Remarks
Feedbacks are appreciated.
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