Because it's not always easy to see your lovely MA crossovers points..
3 seperate MA's which are fully customisable - types, sources, lengths, offsets.
Types of MA available: SMA, EMA, WMA, VWMA, SMMA, DEMA, TEMA, HullMA, LSMA
Custom time resolution available for the Short and Long "Minor" MA's together.
Separate custom time resolution available...
@glaz for jumping on the "on price" suggestion and throwing the code at me - which spurred me to add shapes in too, because why not eh?
Multitude of MA choices.
MA's can both be set to different resolutions.
Crossover/Crossunder, drawn at an averaged position.
On-MA cross marker now only drawn at averaged...
One stop shop for multiple MA duplicates over different resolutions.
A veritable banquet of MA's to choose from.
Set up you MA variables, and then plot up to 4 duplicates all using different time frames.
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...
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 (...
CMF+ is a CMF study enhanced with a linear regression moving average.
Linear Regression of CMF: 34
Activate Vertical Bar Highlights and/or Signal Flags for:
- CMF Oversold/Overbought. (Default: Highlight Bar)
- CMF Extended Oversold/Overbought. (Default: Highlight Bar)
- CMF crossing its Linear Regression . (Default: Signal Flag)...
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.
Depth House Trend and Reversal Candlestick Indicator is a custom trading tool designed to help traders determine trend direction, and possible trend reversal points.
Here is a video which I give a brief overview and show it in action:
How it works:
Based on the default settings, there are 5 primary colors that each have their own...
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 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...
A least squares filter using the Auto line as source, practical for noise removal without higher phase shift.
Its possible to create another parameter for the auto-line length, just add a parameter Period or whatever you want.
r = round(close/round)*round
dev = stdev(close,Period)
Hope you enjoy :)
The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA, who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something...
The ability of the least squares moving average to provide a great low lag filter is something i always liked, however the least squares moving average can have other uses, one of them is using it with the z-score to provide a fast smoothing oscillator.
The indicator aim to provide fast and smooth results. length control the...
Estimating the LSMA Without Classics Parameters
I already mentioned various methods in order to estimate the LSMA in the idea i published. The parameter who still appeared on both the previous estimation and the classic LSMA was the sample correlation coefficient. This indicator will use an estimate of the correlation coefficient using the standard score thus...
An adaptive filtering technique allowing permanent re-evaluation of the filter parameters according to price volatility. The construction of this filter is based on the formula of moving ordinary least squares or lsma, the period parameter is estimated by dividing the true range with its highest. The filter will react faster during high volatility periods and...
Even Shorter Estimation
I know that i'am insistent with the lsma but i really like it and i'm happy to deconstruct it like a mad pinescript user. But if you have an idea about some kind of indicator then dont hesitate to contact me, i would be happy to help you if its feasible.
My motivation for such indicator was to use back the correlation function (that i had...
Thank you to alexgrover for putting me wide to this, after putting up with long conversations and stupid questions. Follow him and behold: www.tradingview.com
What is this?
This is simply the function for a Least Squares Moving Average. You can render this on the chart by using the linreg() function in Pine.
Personally I like to use the...