█ OVERVIEW We have included by default 3 known Patterns. The Bat, the Butterfly and the Gartley. But have you ever wondered how effective other, not yet known models could be? Don't ask yourself the question anymore, it's time to find out for yourself! You have the option to customize your own Patterns with the Backtesting tool and set Retracement Ratios and...
PA-Adaptive T3 Loxxer is a Loxxer indicator that is Phase Accumulation Cycle adaptive and uses T3 moving average for smoothing instead of the typical SMA or EMA . this allows for smoother signals by reducing noise. What is Loxxer? The Loxxer (or DeMark ) indicator, also known by the abbreviation "DeM," is a technical analysis tool that compares the most recent...
ATR-Filtered, Another New Adaptive Moving Average is a modification of @cheatcountry's "Another New Adaptive Moving Average " shown below I've added AT- stepped filtering. This is a standard ATR filter that works by requiring movement by XX multiple of ATR before registering a trend flip. I've also included Loxx's Expanded Source Types. You can read about...
The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and his idea was to focus on the Adaptive Moving Average created by Perry Kaufman and to try to improve it by introducing a concept of effort vs results. In this case the effort would be the total range of the underlying price action since each bar is essentially a war of...
The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and this is a companion indicator to my previous script . This indicator still works off of the same concept as before with effort vs results but this indicator takes a slightly different approach and instead defines results as the absolute difference between the closing...
Introduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively...
As a trader, one of the most important aspects of technical analysis is identifying the dominant cycle of the market. The dominant cycle, also known as the market's "heartbeat," can provide valuable information on the current market trend and potential future price movements. One way to measure the dominant cycle is through the use of the MESA Adaptation - MAMA...
█ OVERVIEW This indicator is intend to be helper to help Elliot Wave user to properly Elliot Wave tools according to correct degree such as 12345 or ABCWXY. The abbreviation changes according to timeframe. █ FEATURES 1. Abbreviation degree adaptive to timeframe. Eg : Subminutte for 1 minute chart, etc. 2. Works for custom timeframe. Eg : Subminutte for 1 to...
Library "datTable" Dynamic Array Table.... Configurable Shape/Size Table from Arrays Allows for any data in any size combination of arrays to join together with: all possible orientations! filling all cells contiguously and/or flipping at boundaries vertical or horizontal rotation x/y axis direction swapping all types array inputs for data. ...
=== Musashi-Katana === This tool was designed to fit my particular trading style and personal theories about the "Alchemy of the markets" and ''Harmonic Structure'. Context When following a Technical approach to to surf the markets, there are teachings that must be understood before reaching a confort-zone, this usually happen the possible worst way by constant...
Introduction Heyo, here are some adaptive VWAP Standard Deviation Bands with nice colors. I used Ehlers dominant cycle theories and ZLSMA smoothing to create this indicator. You can choose between different algorithms to determine the dominant cycle and this will be used as reset period. Everytime bar_index can be divided through the dominant cycle length and the...
Introduction Heyo, here I made a normalized Chaikin Money Flow (CMF) indicator with Inverse Fisher Transform (IFT) and some smoothing techniques. I had to normalize the indicator in order to fit it to the IFT range (-1 -> 1). Moreover, the good old adaptive mode is also included in this indicator. It uses Ehlers superb dominant cycle techniques. It also has...
Introduction Hello community, here I applied the Inverse Fisher Transform, Ehlers dominant cycle determination and smoothing methods on a simple Rate of Change (ROC) indicator You have a lot of options to adjust the indicator. Usage The rate of change is most often used to measure the change in a security's price over time. That's why it is a momentum...
Introduction I modified the script "Fisher Stochastic Center of Gravity" of @DasanC for this indicator. I added inverse Fisher transform, cycle period adaptiveness mode (Ehlers) and smoothing to it. Moreover, I added buy and sell and beautified some stuff. Lastly, it is also non-repainting! Usage This indicator can be used like a normal stochastic, but I...
We took the code that we wrote in Myth Busting Strategy #6 to make it more profitable, specifically the timeframe adaptive Parabolic SAR logic and published this as a separate indicator to make it easier for others to use and adopt. There really is no magic to this. This indicator basically just evaluates the timeframe and derives a multiplier that is applied...
JFD-Adaptive, GKYZ-Filtered KAMA is a Kaufman Adaptive Moving Average with the option to make it Jurik Fractal Dimension Adaptive. This also includes a Garman-Klass-Yang-Zhang Historical Volatility Filter to reduce noise. What is KAMA? Developed by Perry Kaufman, Kaufman's Adaptive Moving Average ( KAMA ) is a moving average designed to account for market...
STD-Adaptive T3 is a standard deviation adaptive T3 moving average filter. This indicator acts more like a trend overlay indicator with gradient coloring. What is the T3 moving average? Better Moving Averages Tim Tillson November 1, 1998 Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has...
Adaptive Two-Pole Super Smoother Entropy (Math) MACD is an Ehlers Two-Pole Super Smoother that is transformed into an MACD oscillator using entropy mathematics. Signals are generated using Discontinued Signal Lines. What is Ehlers; Two-Pole Super Smoother? From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers A...