Generalized Step Moving Average w/ Pips Filter is a stepping function on source input to derive a moving average. This general form the stepping can also be applied to any other input such as EMA, SMA, HMA, WMA, etc.. This moving average employ a filtering system based on the following:
Core filter, both min and max value: pips * (multiplier) or the (average of...
Support and Resistance Levels augmanted and reprocessed
This is an augmented version of my earlier script that can be found here:
This time it features zigzag and channel lines, signal generation and filtering and performance testing. Signal generation and filtering procedures are used only for performance testing, not for the actual labelling....
Even though there are a many other Fractal and Level indicators, this indicator has some unique features. The indicator will display Fractals, fractal levels and HH/LL points, they will only be drawn after they have completed. Also the indicator has options to :
Show Ideal Fractals Only.
Use Renko Style Fractals, where open/close values are used instead of...
Edge-preserving smoothing is often used in image processing in order to preserve edge information while filtering the remaining signal. I introduce two concepts in this indicator, edge preservation and an adaptive cumulative average allowing for fast edge-signal transition with period increase over time. This filter have nothing to do with classic...
This indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.33:10 (September, 2015): "Decyclers").
The idea is still the same as for the Simple Decycler.
Mr. Ehlers suggested to virtually eliminate lag by getting rid of the very low-frequency components. So, he applied the high-pass filter to the simple decycler.
Mr. Ehlers recommended to...
This update to the previous HMA-Kahlman Trend, Clipping & Trendlines script features the same structure with the three modules:
- Trendlines module,
- NEW Winsorizing submodule using difference-based filtering.
- HMA-Kahlman Trend module.
The Winsorizing submodule filters signals by a volume level, eliminating the ones with the volume below a threshold. This...
This is a full-fledged implementation of a system presented in an unique research paper 'Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand' (2017) on candlestick charting, candlestick patterns, trend identification methods, and testing.
You can easily find this paper in the Web. For example, visit: www.researchgate.net
Generates a long entry signal when the Average Directional Index (ADX) value is greater than the trendlevel and the close is greater than the filter value, and/or generates a short entry signal when the ADX value is greater than the trendlevel and the close is less than the filter value.
The Average Directional Index evaluates the...
Time Series Lag Reduction Filter by Cryptorhythms
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.
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...
I've seen several youtubers using 2 RSI's on top of one another to filter trades for their strategies. I figured I would just code it up as an all-in-one indicator for people who have the basic package. This way they have an extra slot for another indicator if they need one and also for convenience.
Longs only when RSI 1 is above RSI 2 and shorts only when...
This indicator was originally developed by John F. Ehlers (Stocks & Commodities, V.33:10 (September, 2015): "Decyclers").
Mr. Ehlers suggested a way to improve trend identification using high-pass filters. The basic smoothers like SMA, low-pass filters, have considerable lag in their display. Mr. Ehlers applied the high-pass filter and subtracted the high-pass...
Indicators settings have been a major concern in trading strategies, in order to provide the best results each indicators involved in the strategy must have its settings optimized, when using only 1 indicator this task can easily be achieved, but an increasing number of indicators involve more slower computations, lot of softwares will use brute...
Just an easy way to monitor trends and avoid fake signals.
// Consolidation periods based on moving average slope.
// Sideways markets are the ultimate challenge to most strategies.
// No trading zones will dismiss some fake signals.
Who doesn't like smooth things? I'd like a smooth market price for christmas! But i can't get it, instead its so noisy...so you apply a filter to smooth it, such filters are called low-pass filters, they smooth and its great but they have lag, so nobody really use them, but they are pretty to look at.
Its on a childish note that i will introduce...
A One Dimensional Kalman Filter, the particularity of Kalman Filtering is the constant recalculation of the Error between the measurements and the estimate.This version is modified to allow more/less filtering using an alternative calculation of the error measurement.
Camparison of the Kalman filter Red with a moving average Black of both period 50
The IE/2 was created by Tim Tillson (Stocks and Commodities Jan 1998) and this is a practically undiscovered gem because in that same article he goes on to to create the popular T3 moving average and the GDEma but practically no one seemed to notice the IE2 or maybe it is just my imagination. Anyway this indicator name is short for Integral of Linear Regression...
A least squares filter using the Auto line as source, practical for noise removal without higher phase shift.
Its possible to create another parameter for the auto-line length, just add a parameter Period or whatever you want.
r = round(close/round)*round
dev = stdev(close,Period)
Hope you enjoy :)