KINSKI Flexible Multi MA (EMA, SMA, RMA, WMA, VWMA, KAMA, HMA)This Multi Moving Average (MA) indicator is more flexible than any other indicator of this type offered so far. You can define up to 10 different Moving Average (MA) lines based on different calculation variants.
The following MA types can be configured.
- EMA: Exponentially Moving Average
- SMA: Small Moving Average
- RMA: Rolling Moving Average
- WMA: Weighted Moving Average
- VWMA: Volume Weighted Moving Average
- KAMA: Kaufman's Adaptive Moving Average
- HMA: Hull Moving Average
Which settings can be made?
- Selection for calculation formula ("Calculation Source"). The default value is "close".
- for each MA line the "Length" and the "Type" can be defined
- furthermore you can make layout adjustments via the "Style" menu
Covwma
Multi-Bollinger [DW]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
-Least Squares Moving Average
-Arnaud Legoux Moving Average
-Coefficient of Variation Weighted Moving Average
-Fractal Adaptive Moving Average
-Kaufman's Adaptive Moving Average
In addition, a middle filter is calculated by taking the median of the two basis lines.
Multi-Timeframe functionality is included. You can choose any timeframe that Tradingview supports as the basis resolution for the bands.
Custom bar color scheme is included with four options to choose from.
Squeeze Box [DW]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 period determines the relative squeeze.
The box is outlined by drawing the current highest and lowest source value over the sampling period whenever a squeeze is active.
I've included the COVWMA in the visualization for additional confirmation of price activity.
Custom Bar color scheme is included.
Stratus [DW]This is an experimental study designed to identify trend activity, and potential support and resistance areas.
First, Coefficient of Variation Weighted Moving Average (COVWMA) is calculated, and its intersection points are used as anchor values.
Next, a fast period COVWMA calculated for a signal line.
For the cloud, its mid level is calculated first by taking the median of the range between price and the last anchor value.
The upper and lower cloud values are calculated by slicing the range in half two more times on each side. The result looks similar to stratus clouds, hence the name.
Finally, the result is offset by half of the specified period.
Custom bar colors are included.
Ultra RSI [DW]This is an RSI Variation with six different averaging methods to choose from.
The averaging methods I've included in this script are:
- Exponential Moving Average
- Simple Moving Average
- Smoothed Moving Average
- Weighted Moving Average
- Volume Weighted Moving Average
- Arnaud Legoux Moving Average
Each method produces a different, yet significant gauge of relative strength.
Custom bar colors are included.
Moving Average Range Channels [DW]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 Average
- Volume Weighted Moving Average
- Least Squares Moving Average
- Arnaud Legoux Moving Average
- Exponential Moving Average
- Simple Moving Average
For a more refined picture of volatility, I've added upper and lower extension channels. They are calculated by adding the upper half range to the channel high, and subtracting the lower half range from the channel low.
The new custom bar color scheme indicates trends, midline crosses, MA crosses, and overbought and oversold conditions.
Directional Movement Bands [DW]This is a simple experimental study designed to outline trend activity and volatility.
In this study, the amount of change between current source and source of a specified lookback is calculated, then added to and subtracted from current source.
Next an exponential moving average is taken of the values for smoothing over the specified period.
Lastly, a midline is generated by taking the median of both bands.
Idō Heikin Ichimoku [DW]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 specified period.
The lagging span is calculated by offsetting the closing price by the same amount as the cloud period.
Fibonacci Time Moving Average Ribbons [DW]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.
Disparity Index [DW]This is an iteration of Steve Nison's Disparity Index that includes 5 different moving average types to choose from.
