statistics

SparkyFlary

Yet another way to try and measure volatility. An alternative to using ATR is Standard Deviation, it can be used to measure volatility or what is also known as risk. SD measures how dispersed or far away the data is from the mean. It's commonly seen in risk management formulas or portfolio diversification formulas. The problem however is that the numbers that ATR...

kaaiii

Day trading trend filter indicator designed to hep get better entries or exits based on historical opens and closes each hour. This indicator is NOT designed as an entry or exit signal. The purpose behind it is to give you statistical information about how likely certain times of day are either bullish, bearish or neutral and use that to confirm or reject other...

Drun30

Good morning traders! This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the...

kaaiii

Simple indicator designed as filter so you can easily see how the currency or asset performed during each month historically. Can used to identify a possible month to enter or exit a trade in. For best results use in combination with another indicator or candle pattern to signal an entry in a historically bullish month *This indicator is designed to be used only...

racer8

Brief 🌟 Pattern Recognition Probabilities (PRP) is a REALLY smart indicator. It uses the correlation coefficient formula to determine if the current set of bars resembles that of past patterns. It counts the number of times the current pattern has occurred in the past and looks at how it performed historically to determine the probability of an up move, down move,...

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...