Oops - I pasted this into my public published chart, so here it goes again.
Here's my first shot at learning PineScript. I have adapted Kıvanç Özbilgiç's Turtle Trade PineScript :
tr.tradingview.com
I've also added an 83-year semi-log detrended...
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:
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.
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...
Description:
A Function that returns a linear regression channel using (X,Y) vector points.
Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
Note:
¹: _X and _Y size must match.
Outputs:
_predictions: Array with adjusted _Y values at _X.
_max_dev: Max deviation from the mean.
_min_dev:...
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...
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...
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 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...
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...
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
![BTCUSDT: Machine Learning / Longs [Experimental]](https://s3.tradingview.com/y/YI9gYy82_mid.png "Machine Learning / Longs [Experimental]")
![BTCUSD: Gaussian Channel [DW]](https://s3.tradingview.com/w/WpVY7GKW_mid.png "Gaussian Channel [DW]")
![EURUSD: [RS]MTF Fibonacci Cycles V0](https://s3.tradingview.com/g/gbnvmlkP_mid.png "[RS]MTF Fibonacci Cycles V0")
![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: Volume Weighted Average Range Bands [DW]](https://s3.tradingview.com/s/s9QRmOhq_mid.png "Volume Weighted Average Range Bands [DW]")
![SPX500USD: [RS]Simple Forecast - Keltner Worms](https://s3.tradingview.com/e/EQlOGqrF_mid.png "[RS]Simple Forecast - Keltner Worms")
![EURUSD: Quadratic Regression Slope [DW]](https://s3.tradingview.com/4/4bFCTkDv_mid.png "Quadratic Regression Slope [DW]")
![BTCUSD: Fractal Regression Bands [DW]](https://s3.tradingview.com/c/cL5qHRnJ_mid.png "Fractal Regression Bands [DW]")
![SPX: [RS]Dolchian/Bollinger Hybrid V0](https://s3.tradingview.com/7/7gRJLRtu_mid.png "[RS]Dolchian/Bollinger Hybrid V0")
![EURUSD: [RS]Zbar](https://s3.tradingview.com/1/1X7p6tHI_mid.png "[RS]Zbar")