Zero-lag, 3-Pole Super Smoother is an Ehlers 3-pole smoother with lag reduction What is 3-pole Super Smoother? A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantially less lag for an equivalent amount of smoothing produced by the moving average....
3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping is an Ehlers 3-pole smoother with EMA deviations corrective stepping. This allows for greater response to volatility. What is 3-pole Super Smoother? A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would...
APA-Adaptive, Ehlers Early Onset Trend is Ehlers Early Onset Trend but with Autocorrelation Periodogram Algorithm dominant cycle period input. What is Ehlers Early Onset Trend? The Onset Trend Detector study is a trend analyzing technical indicator developed by John F. Ehlers , based on a non-linear quotient transform. Two of Mr. Ehlers' previous studies, the...
ATR-Adaptive, Smoothed Laguerre RSI is an adaptive Laguerre RSI indicator with smoothing to reduce noise What is Laguerre RSI? The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures". This version: Instead of using fixed periods for Laguerre RSI calculation, this indicator uses an ATR...
Description: Even better sinewave was an indicator developed by John F. Ehlers (see Cycle Analytics for Trader, pg. 159), in which improvement to cycle measurements completely relies on strong normalization of the waveform. The indicator aims to create an artificially predictive indicator by transferring the cyclic data swings into a sine wave. In this...
Phase Accumulation, Smoothed Williams %R Histogram is a Williams %R indicator using dynamic inputs from Ehlers Phase Accumulation Dominant Cycle Period Algorithm. This indicator includes alerts and signals and is in a smoothed histogram form. The version of Phase Accumulation in this indicator is a modified form of of Ehlers algorithm to allow for better...
Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read...
STD Stepped Ehlers Optimal Tracking Filter MTF w/ Alerts is the traditional Ehlers Optimal Tracking Filter but with stepped price levels, access to multiple time frames, and alerts. What is Ehlers Optimal Tracking Filter? From "OPTIMAL TRACKING FILTERS" by John Ehlers: "Dr. R.E. Kalman introduced his concept of optimum estimation in 1960. Since that time,...
Adaptive Parabolic SAR (PSAR) is an advanced Parabolic SAR with adaptive adjustments using either a Kaufman or an Ehlers smoothing algorithms. What is the Parabolic SAR? The parabolic SAR attempts to give traders an edge by highlighting the direction an asset is moving, as well as providing entry and exit points. In this article, we'll look at the basics of...
Adaptivity: Measures of Dominant Cycles and Price Trend is an indicator that outputs adaptive lengths using various methods for dominant cycle and price trend timeframe adaptivity. While the information output from this indicator might be useful for the average trader in one off circumstances, this indicator is really meant for those need a quick comparison...
Description: Chaikin Money Flow was an indicator that measuring of the volume-weighted average of accumulation and distribution over a specified period (as cited from Fidelity) developed by Marc Chaikin, aim to identify the changes in buying or selling momentum of an asset that leads to the increase or decrease of asset prices. In the original format, the...
Jurik DMX Histogram is the ultra-smooth, low lag version of your classic DMI indicator. What is the directional movement index? The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two...
DSS of Advanced Kaufman AMA is a double smoothed stochastic oscillator using a Kaufman adaptive moving average with the option of using the Jurik Fractal Dimension Adaptive calculation. This helps smooth the stochastic oscillator thereby making it easier to identify reversals and trends. What is the double smoothed stochastic? The Double Smoothed Stochastic...
Adaptive, Jurik-Filtered, JMA/DWMA MACD is MACD oscillator with a twist. The traditional calculation of MACD is the between two EMAs of price. This traditional approach yields a very noisy and lagged signal. To solve this problem, JMA/DWMA MACD uses the difference between adaptive Juirk-Filtered price and adaptive DWMA to yield a marked improvement over...
Jurik-Filtered, Adaptive Laguerre PPO is an indicator used to find reversals. Smoothing with a Jurik Filter reduces noise and better identifies reversal points. What is Laguerre Filter? The Adaptive Laguerre is based on the Laguerre filter, described by John Ehlers in his paper “Time Warp – Without Space Travel”. It applies a variable gamma factor, based on...
Adaptive, Jurik-Filtered, Floating RSI is an adaptive RSI indicator that smooths the RSI signal with a Jurik Filter. This indicator contains three different types of RSI. They are following. Wilders' RSI: The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change...
Adaptive Jurik Filter MACD uses Jurik Volty and Adaptive Double Jurik Filter Moving Average (AJFMA) to derive Jurik Filter smoothed volatility. What is MACD? Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by...
Adaptive Jurik Filter Volatility Oscillator uses Jurik Volty and Adaptive Double Jurik Filter Moving Average (AJFMA) to derive Jurik Filter smoothed volatility. What is Jurik Volty? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing...