Level: 1
Background
A histogram is a special chart that is applied to statistical data that is divided into numerically ordered groups. For example groups with close relationships in the vicinity like "Close-ref(Close ,1)", "Close-ref(Close,2)" and so on. A histogram provides a snapshot of all the data so that you can quickly get an overview of the historical...
The z-score is a way of counting the number of standard deviations between a given data value and the mean of the data set.
Z-score = (x̄ - μ) / (σ / √ n)
x̄ = sample mean (using the array.avg function = array(a,close ), where i = 1 to 21)
μ = population mean ( = avg(close, n))
σ = standard deviation of the population ( = stdev(close,n))
n = number of 'close'...
A good amount of users requested a text box showing various price statistics, the following script returns various of these stats in a user-selected range, and include classical ones such as a central tendency measurement (mean), dispersion (normalized range) and percent change, but also include less common statistics such as average traded volume and number of...
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...
😷 COVID-19 Coronavirus Tracker & Statistics Tools by Cryptorhythms 😷
📜Intro
I wanted to put some more meaning behind the numbers for 2020's Covid pandemic. I hope this tool can help people analyze and deal with these hard times. With these metrics I hope to give greater depth and dimension to whats available. While also at the same time creating something...
The tool counts the number of consecutive bullish or bearish candles in a row and build a distribution of those series lengths. The entire history of an instrument is used.
Available modes:
Strict Bullish ( close > open )
Bullish ( close >= open )
Strict Bearish ( close <= open )
Bearish ( close < open )
Different chart types have different...
This indicator is best used with the companion Seasonality Trader and Seasonality Trader - Deviations .
Plots the daily seasonality average performance profile for any ticker. Each day of the year has a statistical performance. The average of that performance can be extracted using either a simple or exponential approach, which is what this indicator...
This script was written to calculate the correlation coefficient (Adjusted R-Squared) for one dependent and two independent variables.(3-way)
Pearson correlation method was used with exponential moving averages as the correlation calculation method.
Use your source ( i use "close" generally ) as the dependent variable.
Inspired by this article :...
This script holds several useful functions from statistics and machine learning (ML) and takes measurement of a volume weighted distance in order to identify local trends. It attempts at applying ML techniques to time series processing, shows how different distance measures behave and gives you an arsenal of tools for your endeavors. Tested with BTCUSD.
REM:...
Multiple Statistics from zigzag:
• Price range between swings.
• Bar range between swings.
returns maximum value, avg value and mean deviation.
if you find something missing, please leave a message bellow.
Trend detection for any timeframe.
In statistics, the interquartile range, also called the midspread or middle 50%, is a measure of statistical dispersion, being equal to the difference between 75th and 25th percentiles, or between upper and lower quartiles.
This script works identical to Interquartile Range, but instead of lines on the median and upper/lower...
This is a statistical moving average. This doesn't calculate the mean but the median of the given range and simply ignores the outliers.
Try it yourself...
Disclaimer: This is not financial advice
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Trade safe,
Atilla
This script shows the average count of 'up bars' vs. 'down bars'. It is intended for statistic and probability purposes only. It does not include high or low price in the calculation - only the open and close prices are used.
Under settings, click "show difference" to see the difference between the two averages. This can also be called positive/negative drift....
Trend detection for any timeframe.
In statistics, the interquartile range, also called the midspread or middle 50%, is a measure of statistical dispersion, being equal to the difference between 75th and 25th percentiles, or between upper and lower quartiles.
Inspired by everget's Interquartile Range Bands:
Check out everget's scripts here: www.tradingview.com
![XAUUSD: [blackcat] L1 Close Histogram Oscillator](https://s3.tradingview.com/o/oYm4wlfT_mid.png "[blackcat] L1 Close Histogram Oscillator")
![BTCUSD: [RS]Bar Pattern Statistics Tool](https://s3.tradingview.com/i/IeaHIREo_mid.png "[RS]Bar Pattern Statistics Tool")
![USDCAD: [RS]ZigZag Percent Reversal - Multiple Statistics](https://s3.tradingview.com/q/Q8qIfnDH_mid.png "[RS]ZigZag Percent Reversal - Multiple Statistics")
