Interval
CC - Array-meta Consolidated Interval Display (ACID)This script extends my other two Array examples (which I've also provided to you open source):
The Ticker-centric 5m,15m,45m,1h,4h,1d resolution labels using arrays:
And the more Macro VIX,GLD,TLT,QQQ,SPY,IWM 1d resolution labels using arrays:
This script aims to show how to use min/max/avg with Arrays easily. My next example after this will be exploring the usage of variance versus covariance ratios over different periodic interval resolutions. Currently, this is using the following intervals: 5m,15m,45m,1h,4h,1d. It takes these intervals, calculates the values at those resolutions and puts the absolute min and max from the 5 minute to the 1 day resolutions.
It's more of an example of the power that arrays can hold, as all this truly is right now is a min/max bound calculator. The real gem lies in the avg calculators for multiple resoltuions tied into a single label with readable data. Check out the code and let me know what you think. If you need more examples, the other two scripts I mentioned before are also open source.
Using this on intervals of less than 1D sometimes times out, the way I wrote it is memory intensive, may not work for non-pro users.
Thanks!
NONE OF THIS IS FOREWARD LOOKING STATEMENTS, THIS IS NOT A PREDECTIVE ANALYSIS TOOL. THIS IS A RESEARCH ATTEMPT AT A NOVEL INDICATOR. I am not responsible for outcomes using it.
Please use and give criticisms freely. I am experimenting with combining resolutions and comparing covariance values at different levels right now, so let me know your thoughts! The last indicator will likely not be open source, but may be depending on how complex I get.
[RS]Cyclic Interval Average PriceEXPERIMENTAL:
Cyclic interval price averaging at every x bars.
Lines for trend line and intra trend slope(not working as intended).
Regression Channel [DW]This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations.
Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables.
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data.
The regression channel in this study is modeled using the least squares approach with four base average types to choose from:
-> Arnaud Legoux Moving Average (ALMA)
-> Exponential Moving Average (EMA)
-> Simple Moving Average (SMA)
-> Volume Weighted Moving Average (VWMA)
When using VWMA, if no volume is present, the calculation will automatically switch to tick volume, making it compatible with any cryptocurrency, stock, currency pair, or index you want to analyze.
There are two window types for calculation in this script as well:
-> Continuous, which generates a regression model over a fixed number of bars continuously.
-> Interval, which generates a regression model that only moves its starting point when a new interval starts. The number of bars for calculation cumulatively increases until the end of the interval.
The channel is generated by calculating standard deviation multiplied by the channel width coefficient, adding it to and subtracting it from the regression line, then dividing it into quartiles.
To observe the path of the regression, I've included a tracer line, which follows the current point of the regression line. This is also referred to as a Least Squares Moving Average (LSMA).
For added predictive capability, there is an option to extend the channel lines into the future.
A custom bar color scheme based on channel direction and price proximity to the current regression value is included.
I don't necessarily recommend using this tool as a standalone, but rather as a supplement to your analysis systems.
Regression analysis is far from an exact science. However, with the right combination of tools and strategies in place, it can greatly enhance your analysis and trading.
Timelines-Buschi
English:
This is a little, simple script I made upon request from a user.
It shows the highs ad lows of up to three custom timelines (e. g. 60 min, 30 min and 15 min) within a chart.
Deutsch:
Dies ist ein kleines, einfaches Skript, das ich auf Anfrage eines Nutzers erstellt habe.
Es zeigt die Hochs und Tiefs von bis zu drei individueller Zeitreihen (z. B. 60 min, 30 min und 15 min) innerhalb eines Charts.
Interval Volatility Bands [DW]This is an experimental study that utilizes Volume Weighted Average Price or Time Weighted Average Price calculations, Bollinger Bands, and Fibonacci numbers to estimate volatility over a specified interval.
First, the basis is calculated by selecting:
-VWAP, which has the option to be calculated using real volume or tick volume
-TWAP, which has the option to be calculated using the standard method or exponential method
Next, standard deviation from the basis is calculated and multiplied by a specified expansion coefficient. The result is then added to and subtracted from the basis to calculate the high and low bands.
There are three band calculation methods to chosse from in this script:
-Standard, which uses the default calculations
-Average, which takes a cumulative average of standard deviation
-Hybrid, which takes the maximum of the standard and average standard deviation methods
Lastly, the high and low band ranges are multiplied by Fibonacci Percentages 23.6 - 78.6.
A custom color scheme with eight default presets to choose from is included.
Kaufman Adaptive Moving Average (day)The KAMA will not change when the interval changes from day to something like 5 minutes or 30 minutes. Allows for more precise trading with the same indicator on a different interval.
