You can choose one of these MA types in params:
Simple Moving Average ( SMA )
Exponential Moving Average ( EMA )
Weighted Moving Average ( WMA )
Arnaud Legoux Moving Average ( ALMA )
Hull Moving Average ( HMA )
Volume-weighted Moving Average ( VWMA )
Least Square Moving Average ( LSMA )
Smoothed Moving Average ( SMMA )
Double Exponential Moving Average (...
You can choose one of these MA types in params:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Arnaud Legoux Moving Average (ALMA)
Hull Moving Average (HMA)
Volume-weighted Moving Average (VWMA)
Least Square Moving Average (LSMA)
Smoothed Moving Average (SMMA)
Double Exponential Moving Average...
This is an experimental study designed to visualize trend activity and volatility using a set of two Bollinger Bands calculated with a basis moving average type of your choice.
The available moving averages in this script are:
-Exponential Moving Average
-Simple Moving Average
-Weighted Moving Average
-Volume Weighted Moving Average
-Hull Moving Average
...
This is an experimental study designed using data from Bollinger Bands to determine price squeeze ranges and active levels of support and resistance.
First, a set of Bollinger Bands using a Coefficient of Variation weighted moving average as the basis is calculated.
Then, the relative percentage of current bandwidth to maximum bandwidth over the specified sampling...
This is a variation of Gerald Appel's MACD with seven moving average source types to choose from.
The MA types I've included in this script are:
- Kaufman's Adaptive Moving Average
- Geometric Moving Average
- Hull Moving Average
- Volume Weighted Moving Average
- Least Squares Moving Average
- Arnaud Legoux Moving Average
-...
This study is an experiment based off the concept used in my Dynamic Range Channel indicator.
Rather than using a McGinley Dynamic, a moving average of your choice is used in this calculation.
There are eight different moving average types to choose from in this script:
- Kaufman's Adaptive Moving Average
- Geometric Moving Average
- Hull Moving...
This is an experimental study inspired by Goichi Hosoda's Ichimoku Kinkō Hyō.
In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen.
The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the...
This is an experimental study that takes a moving average of price, then offsets the average by up to 11 consecutive Fibonacci numbers from 1 to 144.
Choose between Kaufman's Adaptive Moving Average, Hull Moving Average, Fractal Adaptive Moving Average, Geometric Moving Average, or Exponential Moving Average.
![LTCUSD: Multi-Bollinger [DW]](https://s3.tradingview.com/r/rbihnG9Z_mid.png "Multi-Bollinger [DW]")
![BTCUSD: Squeeze Box [DW]](https://s3.tradingview.com/b/Bin98rqQ_mid.png "Squeeze Box [DW]")
![BTCUSD: Ultra MACD [DW]](https://s3.tradingview.com/y/Y9yQZ7pA_mid.png "Ultra MACD [DW]")
![BTCUSD: Moving Average Range Channels [DW]](https://s3.tradingview.com/d/DSma7kS4_mid.png "Moving Average Range Channels [DW]")
![GBPUSD: Idō Heikin Ichimoku [DW]](https://s3.tradingview.com/3/3gX6sog6_mid.png "Idō Heikin Ichimoku [DW]")
![USDJPY: Fibonacci Time Moving Average Ribbons [DW]](https://s3.tradingview.com/r/rPNIaUEo_mid.png "Fibonacci Time Moving Average Ribbons [DW]")
![NZDUSD: Disparity Index [DW]](https://s3.tradingview.com/w/W6c3JsZK_mid.png "Disparity Index [DW]")
