zerolag

KivancOzbilgic

A different version of ZERO LAG EMA indicator by John Ehlers and Ric Way... In this cover, Zero Lag EMA is calculated without using the PREV function. The main purpose is that to provide BUY/SELL signals earlier than classical EMA's. You can see the difference of conventional and Zero Lag EMA in the chart. The red line is classical EMA and the blue colored...

NeoButane

A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy. The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily,...

EmpiricalFX

This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online! OPERATING PRINCIPLE The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes. In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline...

midtownsk8rguy

Hot off the press, I present this NEW "Reflex Oscillator" employing PSv4.0, originally formulated by Dr. John Ehlers for TASC - February 2020 Traders Tips. John Ehlers might describe it's novel characteristics as being a reversal sensitive near zero-lag averaging indicator retaining the CYCLE component. Also, I would add that irregardless of the sampling interval,...

alexgrover

Introduction This indicator can have a wide variety of usages, and since it is based on exponential averaging then the whole indicator can be made adaptive, thus ending up with a really promising tool. This indicator who can both smooth price and act as a trailing stop depending on user preferences, i tried to make it as reactive, stable and efficient as...

midtownsk8rguy

Hot off the press, I present this NEW "TrendFlex Oscillator" employing PSv4.0, originally formulated by Dr. John Ehlers for TASC - February 2020 Traders Tips. John Ehlers might describe it's novel characteristics as being a reversal sensitive near zero-lag averaging indicator retaining the TREND component. Also, I would add that irregardless of the sampling...

alexgrover

Introduction I inspired myself from the MACD to present a different oscillator aiming to show more reactive/predictive information. The MACD originally show the relationship between two moving averages by subtracting one of fast period and another one of slow period. In my indicator i will use a similar concept, i will subtract a quadratic least squares moving...

alexgrover

Introduction The Hull moving average (HMA) developed by Alan Hull is one of the many moving averages that aim to reduce lag while providing effective smoothing. The HMA make use of 3 linearly weighted (WMA) moving averages, with respective periods p/2 , p and √p , this involve three convolutions, which affect computation time, a more efficient version exist...

ChuckBanger

This is an MACD indicator with the ability to use zeror lag moving average instead of exponential moving average. I also added different background color when histogram is over or under center line, MACD Leader, Laguerre filter and dots to indicate when Leader line crosses macd line. Good luck traders!

everget

Adopted to Pine from www.prorealcode.com . I haven't yet understood the details of the algorithm but it matches the original Jurik's RSX one to one. Jurik's RSX is a "noise free" version of RSI, with no added lag. To learn more about this indicator see www.jurikres.com . Good luck!

everget

Zero Lag Exponential Moving Average indicator script based on the original version by John Ehlers and Ric Way

alexgrover

Introduction At the start of 2019 i published my first post "Approximating A Least Square Moving Average In Pine", who aimed to provide alternatives calculation of the least squares moving average (LSMA), a moving average who aim to estimate the underlying trend in the price without excessive lag. The LSMA has the form of a linear regression ax + b where x ...

alexgrover

A quadratic regression is the process of finding the equation that best fits a set of data.This form of regression is mainly used for smoothing data shaped like a parabola. Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression. Like the Linear Regression (LSMA) a...

alexgrover

Introduction Fast smooth indicators that produce early signals can sound utopic but mathematically its not a huge deal, the effect of early outputs based on smooth inputs can be seen on differentiators crosses, this is why i propose this indicator that aim to return extra fast signals based on a slightly modified max-min normalization method. The indicator...

theheirophant

Time Series Lag Reduction Filter by Cryptorhythms Description A little filter to reduce lag on any time series data. Here we use an EMA to demonstrate how it works, but you could use it in many different ways/appications. This method can cause overshoot if you get too aggressive with the "lagReduce" setting. In this case lower the lagReduce variable. 👍 We...

alexgrover

Introduction It is possible to use a wide variety of filters for the estimation of a least squares moving average, one of the them being the Kaufman adaptive moving average (KAMA) which adapt to the market trend strength, by using KAMA in an lsma we therefore allow for an adaptive low lag filter which might provide a smarter way to remove noise while preserving...

Spiralman

This is Guppy MA i customized for myself based on two scripts of GMMA from JustUncleL and NeoButane. Its features are: 1. Besides standard EMA you can chose all kinds of exotic moving average types ike ALMA (my favorite), HullMA, ZeroLag EMA, VWMA, KAMA etc... 2. Two types of coloring scheme - depends on volatility try one that's best fit. 3. Multiple sets of...

alexgrover

Impulse responses can fully describe their associated systems, for example a linearly weighted moving average (WMA) has a linearly decaying impulse response, therefore we can deduce that lag is reduced since recent values are the ones with the most weights, the Blackman moving average (or Blackman filter) has a bell shaped impulse response, that is mid term values...