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Bollinger Bands With User Selectable MABollinger Bands with user selection options to calculate the moving average basis and bands from a variety of different moving averages.
The user selects their choice of moving average, and the bands automatically adjust. The user may select a MA that reacts faster to volatility or slower/smoother.
Added additional options to color the bands or basis based on the current trend and alternate candle colors for band touches. Options:
REACT SLOW/SMOOTH TO VOLATILITY
simple moving average (Regular Bollinger Bands)
REACT SMOOTH TO VOLATILITY
exponential moving average (EMA Bollinger Bands)
weighted moving average (Weighted MA Bollinger Bands)
exponential hull moving average (Hull Bollinger Bands with better smoothing)
HIGHLY ADJUSTABLE TO VOLATILITY
Arnaud Legoux Moving average (ALMA Bollinger Bands)
Note: 0.85 ALMA default for more smoothing, set offset=1 to turn off smoothing
REACT HARSH TO VOLATILITY
least squares moving average (Least Squares Bollinger Bands)
REACT VERY FAST TO VOLATILITY
hull moving average (Hull Bollinger Bands or Hullinger Bands)
VALUE ADDED: This script is unique in that no other Bollinger Bands indicator offers a user selection for moving average, and some of the options do not exist yet as Bollinger Bands indicators.
Definitions:
Bollinger Bands: A Bollinger Band® is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a security's price, but which can be adjusted to user preferences.
Exponential Bollinger Bands: The most important characteristics of the Exponential Bollinger Bands indicator are: When the market is flat, the bands will stay much closer to prices. When the volatility is high, the bands move away from prices faster.
Hull Bollinger Bands: Bollinger Bands calculated by Hull moving average, rather than simple moving average or ema. The Hull Moving Average (HMA), developed by Alan Hull, is an extremely fast and smooth moving average. In fact, the HMA almost eliminates lag altogether and manages to improve smoothing at the same time.
Exponential Hull Bollinger Bands: Bollinger Bands calculated by Exponential Hull moving average, rather than simple moving average or ema. The Exponential Hull Moving Average is similar to the standard Hull MA, but with superior smoothing. The standard Hull Moving Average is derived from the weighted moving average (WMA). As other moving average built from weighted moving averages it has a tendency to exaggerate price movement.
Weighted Moving Average Bollinger Bands: A Weighted Moving Average (WMA) is similar to the simple moving average (SMA), except the WMA adds significance to more recent data points.
Arnaud Legoux Moving Average Bollinger Bands: ALMA removes small price fluctuations and enhances the trend by applying a moving average twice, once from left to right, and once from right to left. At the end of this process the phase shift (price lag) commonly associated with moving averages is significantly reduced. Zero-phase digital filtering reduces noise in the signal. Conventional filtering reduces noise in the signal, but adds a delay.
Least Squares Bollinger Bands: The indicator is based on sum of least squares method to find a straight line that best fits data for the selected period. The end point of the line is plotted and the process is repeated on each succeeding period.
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_CM_Ultimate_MA_MTF_V4***For a Detailed Video Overview Showing all of the Settings...
Click HERE to View Video
New _CM_Ultimate_MA_MTF_V4 - Update - 08-24-2021
Thanks to @SKTennis for help with code
Added Ability to Plot 1 or 2 Moving Averages - Fast MA & Slow MA
Added Ability to Plot Fast MA with Multi TimeFrame
Added Ability to Plot Slow MA with Multi TimeFrame
Added Ability to Color Fast MA Based on Slope of MA
Added Ability to Color Fast MA based on being Above/Below Slow MA
Added Ability to Plot 8 Types of Moving Averages
Simple, Exponential, Weighted, Hull, VWMA, RMA, TEMA, & Tilson T3
Added Ability to Set Alerts Based on:
Slope Change in the Fast MA Or Fast MA Crossing Above/Below Slow MA.
Added Ability to Plot "Fill" if Both Moving Averages are Turned ON
Added Ability to control Transparency of Fill
Added Alerts to Settings Pane.
Customized how Alerts work. Must keep Checked in Settings Pane, and When you go to Alerts Panel, Change Symbol to Indicator (_CM_Ultimate_MA_MTF_V4)
Customized Alerts to Show Symbol, TimeFrame, Closing Price, & Moving Average Signal Name in Alert
Alerts are Pre-Set to only Alert on Bar Close
See Video for Detailed Overview
New Updates Coming Soon!!!
***Please Post Feedback and Any Feature Requests in the Comments Section Below*** Indicator

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MA, MATR, ChEx | All in One - 4CR CUPIn trade position setup, we always need to determine the market structure and manage the position sizing in a short period of decision time. Indicators such as moving average, initial stop loss and trailing stop loss are always helpful.
This indicator put all these handy tools into a single toolkit, which includes the following price action and risk management indicators:
MA - Moving Average
MATR - Moving Average less Average True Range
ChEx - Chandelier Exit
This script further enhances the setting so that you can easily customize the indicators.
For both the Moving Averages and the Moving Average less Average True Range , you can pick a type of moving average which suits your analysis style from a list of commonly used moving average formulations: namely, EMA , HMA , RMA, SMA and WMA , where EMA is selected as default.
The Moving Average less Average True Range , MATR, is usually applied as a reference to set the initial stop loss whenever opening a new position.
The abbreviation, MATR, is picked, so that this can serve as a handy reminder of a very good trading framework as elaborates as below:
M – Market Structure
A – Area of Value
T – Trigger
R – Risk Management (aka. Exit Strategy) Indicator

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Every single moving average (ALMA, EMA, HMA, KAMA, RMA, SMA...)So you may be looking at the graph and thinking "this is a mess", and I agree.
The purpose of this script is to plot in the same graph every single type of moving average that I could think of, so you can find the ones that are better for your timeframe and for your asset. Once you add it, disable those types that doesn't seem to serve your purpose, until you can select one you like.
The average types are: ALMA, EMA, HMA, KAMA, RMA, SMA, SWMA, VIDYA, VWAP, VWMA, and WMA. Each one is ploted two times (except SWMA and VWAP), one with a short period, and another with a long, both of which you can configure. Indicator

Resampling Filter Pack [DW]This is an experimental study that calculates filter values at user defined sample rates.
This study is aimed to provide users with alternative functions for filtering price at custom sample rates.
First, source data is resampled using the desired rate and cycle offset. The highest possible rate is 1 bar per sample (BPS).
There are three resampling methods to choose from:
-> BPS - Resamples based on the number of bars.
-> Interval - Resamples based on time in multiples of current charting timeframe.
-> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm.
The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity.
Then, the data is passed through one of my custom built filter functions designed to calculate filter values upon trigger conditions rather than bars.
In this study, these functions are used to calculate resampled prices based on bar rates, but they can be used and modified for a number of purposes.
The available conditional sampling filters in this study are:
-> Simple Moving Average (SMA)
-> Exponential Moving Average (EMA)
-> Zero Lag Exponential Moving Average (ZLEMA)
-> Double Exponential Moving Average (DEMA)
-> Rolling Moving Average (RMA)
-> Weighted Moving Average (WMA)
-> Hull Moving Average (HMA)
-> Exponentially Weighted Hull Moving Average (EWHMA)
-> Two Pole Butterworth Low Pass Filter (BLP)
-> Two Pole Gaussian Low Pass Filter (GLP)
-> Super Smoother Filter (SSF)
Downsampling is a powerful filtering approach that can be applied in numerous ways. However, it does suffer from a trade off, like most studies do.
Reducing the sample rate will completely eliminate certain levels of noise, at the cost of some spectral distortion. The lower your sample rate is, the more distortion you'll see.
With that being said, for analyzing trends, downsampling may prove to be one of your best friends! Indicator

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MACD Multi-MA StrategyThis script applies the average of each major MA (SMA, RMA, EMA, WVMA, WMA) to the MACD formula.
The logic is simple. When all 5 MA's are in agreement in direction, then then script will notify users of change.
I posted this as a strategy to help show how logic does in back test. If you use my simple yet effective solution to find take profit locations, you can blow this back testing out of the water!!!
To set alerts simply turn script into study
//@version=2
study(title="MACD Multi-MA Study", overlay=false)
src = close
len1 = input(8, "FAST LOOKBACK")
len2 = input(144, "SLOW LOOKBACK")
/////////////////////////////////////////////
length = len2-len1
ma = vwma(src, length)
plot(ma, title="VWMA", color=lime)
length1 = len2-len1
ma1 = rma(src, length1)
plot(ma1, title="RMA", color=purple)
length2 = len2-len1
ma2 = sma(src, length2)
plot(ma2, title="SMA", color=red)
length3 = len2-len1
ma3 = wma(src, length3)
plot(ma3, title="WMA", color=orange)
length4 = len2-len1
ma4 = ema(src, length4)
plot(ma4, title="EMA", color=yellow)
long = ma > ma and ma1 > ma1 and ma2 > ma2 and ma3 > ma3 and ma4 > ma4
short = ma < ma and ma1 < ma1 and ma2 < ma2 and ma3 < ma3 and ma4 < ma4
alertcondition(long == true, title='MACD LONG SIGNAL', message='MACD LONG!')
alertcondition(short == true, title='MACD SHORT SIGNAL', message='MACD SHORT!')
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