statistics

SegaRKO

This is an open source and updated version of my previous "Confidence Interval" script. This script provides you with the expected range over a given time period in the future and the skew of that range. For example, if you wanted to know the expected 1 standard deviation range of MSFT over the next 20 days, this will tell you that. Additionally, this script will...

dax50

I did not write the script from scratch but rather started editing code of an existing one. The original code came from a script called GAP DETECTOR by @Asch- First up: I am a trader, not a programmer and therefore my code most likely is inefficient. If someone with more expertise would like to help and optimize it - feel free to get in touch, I am always...

balipour

In Finance, people usually assume the price follows a random walk or more precisely geometric Brownian motion. In 1988, Lo and MacKinlay came up with the variance ratio test to refute the random walk hypothesis and efficient market hypothesis. The variance ratio test is a simple test for market efficiency, autocorrelation, and whether price follows a random walk....

balipour

In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 (AR(1) process) in the residuals (prediction errors) from a regression analysis. With the new array function tradingview implemented, we are able to do our calculations on the residuals. The residual is given by subtracting the actual value (in...

BillionaireLau

Managing expectation is important for price action traders. This indicator mainly for intraday reference, and it plots the price change/ volatility statistics on a bar-to-bar basis, with the marking of +/- 1 and 2 sigma SD . The user can refer to the historical volatility to manage their expectation of the velocity of price action by referring to these statistics.

blackcat1402

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...

RicardoSantos

EXPERIMENTAL: A example on how to retrieve statistics from a recurring event. Can be used to optimized strategy's, trade parameters, etc..

luminaryfi

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'...

balipour

The Hurst exponent is used as a measure of long-term memory of time series. It relates to the autocorrelations of the time series and the rate at which these decrease as the lag between pairs of values increases. The Hurst exponent is referred to as the "index of dependence" or "index of long-range dependence". It quantifies the relative tendency of a time series...

govship

Entropy of log returns with a rolling MinMax Scaler

govship

Difference between two EMAs and then transformed through a MinMax scaler

balipour

Probability Panel is based on the Expected Move. While Expected Move gives fixed estimated probability range based on standard deviation, Probability Panel uses a cumulative distribution function(CDF) to get the estimated probability from any input price. The CDF shows the probability a random variable X is found at a value equal to or less than a certain x. In...

balipour

Expected move is the amount that an asset is predicted to increase or decrease from its current price, based on the current levels of volatility. In this model, we assume asset price follows a log-normal distribution and the log return follows a normal distribution. Note: Normal distribution is just an assumption, it's not the real distribution of return...

AlphaBotSystem

Alpha Performance of Period (PoP) produces a visualization of returns (gains and losses) over a quarterly, monthly, or annual period. It also displays the total % gain and loss over any length of days, months, and years as defined by the user. Performance of Period (PoP) can be used to understand the performance of an asset over multiple periods using a single...

alexgrover

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...

a.tesla2018

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...

theheirophant

😷 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...

everget

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...