a.tesla2018

Statistical Histogram with configurable bins and Data Window

Creates a Histogram for Statistical Analysis of any source.

Input Parameters:

Sample Source: Select your source here, can be any numerical source.
Sample Period: Sample size for Mean and Standard Deviation Calculations.
Enable Cumulative Mode: Will attempt to calculate the bin for every sample in the entire dataset.
Window Period: Used only in Window Mode (Enable Cumulative Mode unchecked), Calculates the bin for the past Window Period sample size.
Bin Label Spacing: Adjust horizontal spacing of Bin Labels below the histogram for easier viewing.
Center Bin: Selects the center Bin, usually set to (0 - Bin Width) < Sample <= 0 standard deviations or (z_score)
Bin Width: Selects the Bin Width in standard deviations.

How you can use it:

View characteristics of dataset such as unimodal/bimodal and skewness to determine preferred statistical analysis.

Additional Reference:

Credits:
Thanks goes out to https://www.tradingview.com/u/e2e4mfck/, for cleaning up some of the code and https://www.tradingview.com/u/alexgrover/ for the original idea.

Usage Tips:
When adjusting the bin parameters, center bin and bin width, verify that the total sum of the bins (Sum Frequency in the Data Window) is close to the Total Samples. If your Sum Frequency is drastically lower it means you need to adjust your center bin and/or bin width to capture more of the data available.

B.S. Electrical Engineering and Computer Science with 10+ years experience in C, C++, HDL and lately, Pine for hire

Paypal: www.paypal.me/atesla2018
CashApp: cash.app/$atesla2018
Telegram: @airee_f
开源脚本

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免责声明

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