Italian physicist Galileo Galilei is usually credited with being the first to measure speed by considering the distance covered and the time it takes. Galileo defined speed as the distance covered during a period of time. In equation form, that is v = Δd / Δt where v is speed, Δd is change in distance, and Δt is change in time. The Greek symbol for delta, a...
Experimental attemt of applying Logistic Map Equation for some of widly used indicators.
With this study "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)" and a custom interpretation of Logistic Map Equation is presented
Calculations with Logistic Map Equation makes sense when the calculated results...
Hello Traders/Programmers,
For long time I thought that if it's possible to make a script that has own memory and criterias in Pine. it would learn and find patterns as images according to given criterias. after we have arrays of strings, lines, labels I tried and made this experimental script. The script works only for Long positions.
Now lets look at how it...
experimental:
zigzag indicator with all the zigzag methods that im aware of(that matter atleast), theres something for all tastes there :P
this will be the basis for zigzag tools i make in the future.
note: some zigzags REPAINT.
This is an experimental study designed to filter out minor price action for a clearer view of trends.
Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI.
First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount.
Next, the filter is...
This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity.
Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times.
First, beta and alpha are calculated based on the sampling period and number of poles specified. The...
Calculates VWAP from a fixed point in time as well as standard deviations.
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As originally described by Adam H. Grimes.
For analyzing the location of Open within the day's range (OPR). The OPR histogram displays the binned distribution of OPR values for the chart history. Fat tails at the extremes indicates that Open occurred more often close to the day's high or low.
The OPR results are filtered according to volatility using Grime's...
This study is an experiment designed to identify market phases using changes in an approximate Hurst Exponent.
The exponent in this script is approximated using a simplified Rescaled Range method.
First, deviations are calculated for the specified period, then the specified period divided by 2, 4, 8, and 16.
Next, sums are taken of the deviations of each period,...
Description:
A Function that returns cluster centers for given data (X,Y) vector points.
Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
_number_of_clusters: number of clusters.
Note:
¹: _X and _Y size must match.
Outputs:
_centers_x: Array containing x data points.
_centers_y: Array...
Warning! Frequently hits the execution time limit for scripts.
Especially on initially adding to your chart. Often requires toggling show/hide indicator to get it to complete script execution within the time limit. YMMV!
From TASC Sept 2016 this is Ehler's Autocorrelation periodogram. A means of determining the dominant cycle ("ideal" indicator length /...
This is an experimental study designed to track directional polarities across multiple timeframes and express them as a simple two color grid.
The polarity in this calculation is determined by divergence between a fast and slow McGinley Dynamic.
Your current resolution's polarity is the top row, the rows below are are for higher timeframes of your choice.
![BTCUSDT: Machine Learning / Longs [Experimental]](https://s3.tradingview.com/y/YI9gYy82_mid.png "Machine Learning / Longs [Experimental]")
![SQ: [RS]ZigZag Multiple Methods - Forecast - patterns - labels](https://s3.tradingview.com/3/3W5o68jP_mid.png "[RS]ZigZag Multiple Methods - Forecast - patterns - labels")
![EURUSD: Range Filter [DW]](https://s3.tradingview.com/l/lut7sBgG_mid.png "Range Filter [DW]")
![BTCUSD: Gaussian Channel [DW]](https://s3.tradingview.com/w/WpVY7GKW_mid.png "Gaussian Channel [DW]")
![EURNZD: [RS]ZigZag Percent Reversal - Helper - Draw Patterns - Part 3](https://s3.tradingview.com/r/Rmvb2lWk_mid.png "[RS]ZigZag Percent Reversal - Helper - Draw Patterns - Part 3")
![BTCUSD: Hurst Exponent Market Phases [DW]](https://s3.tradingview.com/u/UR16Q7VB_mid.png "Hurst Exponent Market Phases [DW]")
![EURUSD: [RS]RSI Momentum Bands V0](https://s3.tradingview.com/t/Ti1bRsoU_mid.png "[RS]RSI Momentum Bands V0")
![EURUSD: Smooth Regression Bands [DW]](https://s3.tradingview.com/6/6oMCr7Nn_mid.png "Smooth Regression Bands [DW]")
![BTCUSD: MTF Polarity Grid [DW]](https://s3.tradingview.com/2/2BmaDHuj_mid.png "MTF Polarity Grid [DW]")
![EURNZD: [RS]Intraday Multiple Instrument Momentum Window](https://s3.tradingview.com/j/JeNGo2T9_mid.png "[RS]Intraday Multiple Instrument Momentum Window")