Exponentially Deviating Moving Average (MZ EDMA) is derived from Exponential Moving Average to predict better exit in top reversal case. EDMA Philosophy EDMA is calculated in following steps: In first step, Exponentially expanding moving line is calculated with same code as of EMA but with different smoothness (1 instead of 2). In 2nd step, Exponentially...
The Median Average Adaptive Filter was created by John Ehlers and this is another in my current series of undiscovered gems. I'm sure you are all saying but Franklin, Ehlers doesn't have any undiscovered gems but in this case you would be wrong. This was actually an indicator so buried on the internet that I had to use the wayback machine to find the original...
This indicator is a functional enhancement to John Bollinger's Bollinger Bands. I've used Volume to adapt dynamic length which is used in basis (middle line) of Bollinger Bands and Simple Moving Average is replaced with Adaptive Ehlers Deviation Scaled Moving Average ( AEDSMA ). BOLLINGER BANDS BASIC USAGE AND LIMITATIONS Bollinger bands are popular among...
IDEA PLACEMENT This indicator uses “Chikou” cross concept of Ichimoku cloud indicator and enhances usage of High/Low data with Volume Breakout and Volatility based dynamic adaption. I’ve been working on making Moving Averages more adaptive based on Volume Breakout and Volatility but as we know Mas work better on close values. I wanted to create a study...
AEDSMA INTRODUCTION This indicator is a functional enhancement to “Ehlers Deviation Scaled Moving Average (EDSMA / DSMA)”. I’ve used Volume Breakout and Volatility for dynamic length adaption and further Slope too for trend evaluation. EDSMA was originally developed by John F. Ehlers (Stocks & Commodities V. 36:8: The Deviation-Scaled Moving Average). ...
INTRODUCTION This script is inspired from "Vitali Apirine (Stocks & Commodities V.36:5: Adaptive Moving Averages)" and a correction to Dynamic Volume Adaptive Moving Average (MZ DVAMA) . I have used slope filtering in order to adapt trends more precisely for better trades. Slope adaption makes it better for adaptive moving average to detect trend health;...
INTRODUCTION This indicator is inspired from "Vitali Apirine (Stocks & Commodities V.36:5: Adaptive Moving Averages)" but I have used Volume filtering to in order to adapt trends more precisely for better trades. Volume adaption makes it better for adaptive moving average to detect trend health; making it easier to make decisions based on market strong...
Introduction: This study uses Adaptive Moving Average with 1 year of length to plot on all time history Index Calculated by Tradingview . All previous $BTC bear runs bottomed on this curve which makes it important enough. Use this only on " " Default Values: AMA length is 1 year Minor length is 50 Major length is 100
uses range and change distance on arrays to allow for more control as well as any choice of input value as a controller for how tightly it grips the input signal.
Dear All, This is my first public script modified to adapt the concept of Mr. Premal Parekh on Adaptive Relative Strength - ARS) The original Script is developed by modhelius. I have proved the version as per my requirement and included concept of ARS. This script will remove the manual calculation task which is required on daily basis to calculate number of...
This script is improved over the existing script developed by Mr. modhelius I have added ASR Concept of Mr. Premal Parekh. This script will remove manual calculation of Trading Days from ASR Date.
The Kaufman Adaptive Moving Average was created by Perry Kaufman and this is a variation of that original formula created by John Ehlers. I have included a side by side with an original script (blue line) done by @HPotter that shows that Ehlers version is slightly more reactive compared to the original version. I have included strong buy and sell signals in...
Automatic moving average removes the need to set the moving average length manually. The indicator progressively finds a suitable length that minimizes the number of candle body touches and maximizes the number of wick touches.
The Adaptive Bandpass Filter was created by John Ehlers (Cycle Analytics For Traders pgs 153-156) and this uses his autocorrelation code to provide the adaptive lengths to use for the underlying bandpass filter. The bandpass filter is a common way in digital signal processing to filter out the underlying noise in the data. It can actually be turned into a leading...
The Adaptive Stochastic Indicator V1 was created by John Ehlers (Rocket Science For Traders pgs 233-234) and this indicator uses the same calculations to find a cycle period that is then used for both the creation of the stochastic indicator but also for the smoothing to create a double smoothed stochastic indicator. Because it is calculated this way, this...
The Adaptive Relative Strength Index was created by John Ehlers and this is his first version. I will of course publish his updated version at a later date along with publishing the final script from Jim Sloman's Ocean Theory book. I have changed his script to include extra smoothing to provide clear buy and sell signals. This is a version of a RSI that is very...
The Smoothed Adaptive Momentum indicator was created by John Ehlers and this indicator gives a lot of useful information. When the indicator is above 0 then there is very strong upward momentum and when the indicator falls below 0 then there is very strong downward momentum. A very profitable way to use this particular indicator is buy long when the indicator is...
The Adaptive Cyber Cycle was created by John Ehlers and this is a cycle based indicator which you don't find too many of these days. Each stock goes through cycles which are repeating patterns of price movement and cycle indicators help you find the timing of the cycle to capitalize on the underlying cycle. That is an extremely simple explanation but most...