█ OVERVIEW TASC's June 2022 edition Traders' Tips includes an article by John Ehlers titled "Ehlers Loops. Part 1". This is the code implementing the price-volume Ehlers Loops he introduced in the publication. █ CONCEPTS John Ehlers developed Ehlers loops as a tool to visualize the performance of one data stream versus another, both filtered and...
This indicator consists of a combination of indicators produced by the most valuable developers in the market. These are: Center of Gravity (COG) and Super Smoothed MACD (SSMACD) shared by @KivancOzbilgic and Center of Linearity (COL) shared by @alexgrover I produced this indicator by writing new conditions that compare the signals given by these indicators with...
A complimentary indicator to my Adaptive MA constructor. It calculates the difference between the two MA lines (inspired by the Moving Average Difference (MAD) indicator by John F. Ehlers). You can then further smooth the resulting curve. The parameters and options are explained here: The difference is normalized by dividing the difference by twice its Root mean...
This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity. Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times. First, beta and alpha are calculated based on the sampling period and number of poles specified. The...
Adaptive Oscillators use the same principle as Adaptive Moving Averages. This is an experiment to separate length generation from oscillators, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. Note that all Oscillators here are normalized to -1..1 range. This indicator is based on my previously published public...
Adaptive Moving Averages are nothing new, however most of them use EMA as their MA of choice once the preferred smoothing length is determined. I have decided to make an experiment and separate length generation from smoothing, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. This indicator is based on my...
Laguerre RSI is based on John EHLERS' Laguerre Filter to avoid the noise of RSI. Change alpha coefficient to increase/decrease lag and smoothness. Buy when Laguerre RSI crosses upwards above 20. Sell when Laguerre RSI crosses down below 80. While indicator runs flat above 80 level, it means that an uptrend is strong. While indicator runs flat below 20 level, it...
One more to add to the Ehlers collection. Ehlers Instantaneous Trendline, by John Ehlers, identifies the market trend by doing removing cycle component. I think, this simplicity is what makes it attractive :) To understand Ehlers's thought process behind this, refer to the PDF linked below. There are atleast 6 variations of this ITrend. This version is from...
The Triangle Moving Average is the last of custom scripts converting Ehlers Window Indicators to Moving Averages. As you can see this is actually very similar to the Hamming Moving Average and the Hann Moving Average so I would recommend to test this one out with different settings and see what works best for you. As far as the formula calculation, it is a...
THIS INDICATOR IS DESIGNED USING EHLERS' SUPER SMOOTHER FILTER DESIGNED FOR CRYPTO TRADE (another version available for stocks also: Super Smoothed MACD for STOCKS by KIVANÇ fr3762) Instead of EXPONENTIAL MOVING AVERAGES in traditional MACD calculation, Super Smoothed prices are used. The default values of BAND EDGE's (periods) of these Super Smoothed Prices...
John Ehler's MESA Stochastic uses super smoothing to give solid signals. This indicator uses the same rules as every other Stochastic indicator so it would be worth looking into if you are not already familiar with reading a Stochastic. There are 4 different lengths displayed to give traders an edge on reading the market. This is a great tool to analyze waves and...
Level: 2 Background John F. Ehlers introuced SwamiCharts Stochastic Indicator in Mar, 2012. Function In the late 1950s, George Lane developed stochastics, an indicator that measures the relationship between an issue's closing price and its price range over a predetermined period of time. To this day, stochastics is a favored technical indicator because it is...
Another one to add to Ehlers collection. The MESA Adaptive Moving Average (MAMA) adapts to price movement based on the rate of change of phase as measured by the Hilbert Transform Discriminator. This method features a fast attack average and a slow decay average so that composite average rapidly ratchets behind price changes and holds the average value until the...
A combined 3in1 version of pre shared INVERSE FISHER TRANSFORM indicators on RSI , on STOCHASTIC and on CCIv2 to provide space for 2 more indicators for users... About John EHLERS: From California, USA, John is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to...
Level: 2 Background John F. Ehlers introuced MESA Stochastic Indicator in Jan, 2014. Function The MESA Stochastic oscillator, a stochastic successor that removes the effect of spectral dilation through the use of a roofing filter. Key Signal MESAStochastic --> Ehlers MESA Stochastic Indicator fast line Trigger --> Ehlers MESA Stochastic Indicator slow...
Zero Lag Exponential Moving Average indicator script based on the original version by John Ehlers and Ric Way
Ehlers MESA Adaptive Moving Averages (MAMA & FAMA) script. These indicators was originally developed by John F. Ehlers (Stocks & Commodities V. 19:10: MESA Adaptive Moving Averages).
Level: 3 Background John F. Ehlers introuced Dominant Cycle and Spectrogram Indicator in Mar, 2008. Function In "Measuring Cycle Periods" in Mar, 2008, John Ehlers presented a very interesting technique of measuring dominant market cycle periods by means of multiple bandpass filtering. By utilizing an approach similar to audio equalizers, the signal (here, the...