This is an experimental work to show 10 moving averages in 3D by using linefill.new() feature of the Pine language.
You can set moving average type as Simple (SMA) or Exponential (EMA)
You can set "Starting Length" and set the "Step" to calculate other lengths. For example; if "Starting Length" is 10 and "step" is 5 then the lengths are 10, 15, 20,...
WARNING: this strategy repaints after reloading and results are heavily curve fitted, use at your own discretion.
UPDATE: (AleksanderThor) add option for a 2nd target, to use you need to activate pyramiding with a setting of 1 manually (not possible to change programatically) .
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...
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...
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...
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...
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 an experimental variation of Paul L. Dysart's Positive Volume Index and Negative Volume Index that tracks the divergences between the PVI and its EMA, and the NVI and its EMA, then plots both together for comparison.
This tool can be used to identify trending price activity.
This is an experimental study using z scores of multiple sampling periods to analyze price trends.
Z score measures the number of standard deviations price is from its mean.
In this study, z scores are calculated over a Fibonacci sequence of sampling periods from 3 to 4181.
The scores are then averaged with equal weighting, resulting in a display of long term...
This study is an alternative experimental interpretation of the Blast Off Indicator by Larry Williams.
This formula takes positive and negative magnitudes rather than the absolute value. The result is then smoothed with an EMA, and twice smoothed to provide a signal line.
Example execution of Monte Carlo Simulation applied to the markets(this is my interpretation of the algo so inconsistencys may appear).
the algorithm is very demanding so performance is limited.
This is a potential solution to dealing with the inherent lag in most filters especially with instruments such as BTC and the effects of long periods of low volatility followed by massive volatility spikes as well as whipsaws/barts etc.
We can try and solve these issues in a number of ways, adaptive lengths, dynamic weighting etc. This filter uses a non linear...