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...
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:
Example execution of Monte Carlo Simulation applied to the markets(this is my interpretation of the algo so inconsistencys may appear).
note:
the algorithm is very demanding so performance is limited.
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...
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.
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: trend and range analysis using dolchian and bollinger channels methodology merged into one, possibly it can be used to extract 3d depth of market :p
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...
Description:
A function that returns a polynomial regression and deviation information for a data set.
Inputs:
_X: Array containing x data points.
_Y: Array containing y data points.
Outputs:
_predictions: Array with adjusted _Y values.
_max_dev: Max deviation from the mean.
_min_dev: Min deviation from the mean.
...
This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume...
This is a study geared toward identifying price trends using Quadratic regression.
Quadratic regression is the process of finding the equation of a parabola that best fits the set of data being analyzed.
In this study, first a quadratic regression curve is calculated, then the slope of the curve is calculated and plotted.
Custom bar colors are included. The...
EXPERIMENTAL:
Using keltner channels with automatic multiplier finding, offsets and show_last cutoffs to generate a forecast area.
video showing why its named keltner worms :p..
streamable.com
This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The...
![SQ: [RS]ZigZag Multiple Methods - Forecast - patterns - labels](https://s3.tradingview.com/3/3W5o68jP_mid.png "[RS]ZigZag Multiple Methods - Forecast - patterns - labels")
![BTCUSDT: Machine Learning / Longs [Experimental]](https://s3.tradingview.com/y/YI9gYy82_mid.png "Machine Learning / Longs [Experimental]")
![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")
![SPX: [RS]Dolchian/Bollinger Hybrid V0](https://s3.tradingview.com/7/7gRJLRtu_mid.png "[RS]Dolchian/Bollinger Hybrid V0")
![BTCUSD: Gaussian Channel [DW]](https://s3.tradingview.com/w/WpVY7GKW_mid.png "Gaussian Channel [DW]")
![BTCUSD: Volume Weighted Average Range Bands [DW]](https://s3.tradingview.com/s/s9QRmOhq_mid.png "Volume Weighted Average Range Bands [DW]")
![EURUSD: Quadratic Regression Slope [DW]](https://s3.tradingview.com/4/4bFCTkDv_mid.png "Quadratic Regression Slope [DW]")
![SPX500USD: [RS]Simple Forecast - Keltner Worms](https://s3.tradingview.com/e/EQlOGqrF_mid.png "[RS]Simple Forecast - Keltner Worms")
![BTCUSD: Fractal Regression Bands [DW]](https://s3.tradingview.com/c/cL5qHRnJ_mid.png "Fractal Regression Bands [DW]")
![USDRUB: [RS]predict player direction](https://s3.tradingview.com/0/0hE58Yu4_mid.png "[RS]predict player direction")