The ability to reduce lag while keeping a good level of stability has been a major challenge for smoothing filters in technical analysis. Stability involve many parameters, one of them being overshoots. Overshoots are a common effect induced by low-lagging filters, they are defined as the ability of a signal output to exceed a target input. This...
Based on ZeroLag EMA (original version by @Glaz).
Ideas and code from @yassotreyo and @albert.callisto.
Enhanced by Bill Strat @billstrat.
See you on twitter and telegram.
Last Update 11.09.2018
(BS - 1.0) Histogram with custom colors, crossovers and bars highlighting.
Even Shorter Estimation
I know that i'am insistent with the lsma but i really like it and i'm happy to deconstruct it like a mad pinescript user. But if you have an idea about some kind of indicator then dont hesitate to contact me, i would be happy to help you if its feasible.
My motivation for such indicator was to use back the correlation function (that i had...
A user has asked for the Study/Indicator version of this Strategy.
If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator
The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!)
The strategy is based on...
This script is a crossing of eleven different MA, with alerts and SL and TP.
The simplest is what works best.
SMA --> Simple
EMA --> Exponential
WMA --> Weighted
VWMA --> Volume Weighted
SMMA --> Smoothed
DEMA --> Double Exponential
TEMA --> Triple Exponential
HMA --> Hull
TMA --> Triangular
SSMA --> SuperSmoother filter
ZEMA --> Zero Lag Exponential
The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA, who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something...
Single Exponential Smoothing (ema) does not excel in following the data when there is a trend. This situation can be improved by the introduction of a second equation with a second constant gamma.
The gamma constant cant be lower than 0 and cant be greater than 1, higher values of gamma create less lag while preserving smoothness.Higher values of length must be...
Based on the exponential averaging method with lag reduction, this filter allow for smoother results thanks to a multi-poles approach. Translated and modified from the Non-Linear Kalman Filter from Mladen Rakic 01/07/19 www.mql5.com
length control the amount of smoothing, the poles can be from 1 to 3, higher...
Ujanja uses Zero Lag EMA combined with Hull Moving Average for smoothing purposes. It is a less aggressive. It is only to be used with huge volume , huge momentum and high volatility to get trend analysis... It doesn't repaint at all.
Advised use :
Trades highly volatile Crypto currencies, stocks as well as Gold .
It is only to be used with huge momentum and...
This strategy uses 5 Simple Moving Averages and 2 ZeroLag Exponential Moving Averages, to determine possible entries and exits.
- Pretuned for Forex on 15m period
- Uses SMA(10/20/50/100/200) and EMA(9/21) by default
- Be cautios in sideward markets!
Finite Impulse Response (FIR) Filter indicator script.
This indicator was originally developed by John F. Ehlers (Stocks & Commodities V. 20:7 (26-31): Zero-Lag Data Smoothers).
NOTE: Ehlers' favorite FIR filter had 1, 2, 3, 3, 2, 1, 0 coefficients.