A way to see whether RSI is overbought or oversold inside its Bollinger Bands in the form of an oscillator. Z-score tells you how far the data is from the mean in terms of standard deviations. The numbers shown in the indicator are the number of standard deviations away from the average or mean. Like Bollinger Bands, if it is above the standard deviation border...
This script represent short, mid and long term Zscores combined with an approximed VIX calculated on the asset that is tested. You can play with sensitivity options. Colors from low to high are : yellow orange dark orange pink purple red. Like always, I take everyfeedbacks. Have a nice day ! Max
The following script is an application of the Z-Score (previous script). Z-Scores can be used in place of standard deviation (sigma) in 'Bollinger Bands'. The average of the sample (x-bar) over 21 days (N) 21 average trading days per month, fixed value The average of the population (mu) over 63 days (n) 63 days per quarter, default is set to 63 Z-Score...
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'...
Cumulative distribution function (tScore and zScore) This script provides the calculation of the cumulative distribution function (i.e., probability). The measure allows you to calculate the chances of a value of interest being above or below a hypothesized value over the measurement period—nothing fancy here, just good old statistics and mathematics. The closer...
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...
**THIS VERSION HAS BEEN STANDARDIZED WITH A Z SCORE CALCULATION AND ALLOWS THE USER TO SELECT WHICH MOVING AVERAGE THEY WOULD LIKE TO UTILIZE FOR THE SIGNAL LINE** Chart shows the Non-Standardized Enhanced Time Segmented Volume (Multi MA) with default settings on top and the Standardized version with default settings on the bottom. Time Segmented Volume was...
This is a study to determine if small candle bodies (little difference between open and close), regardless of overall candle length (high/low), can be used to filter choppy markets. The indicator will calculate the selected average "MA Mode" of (close-open). To standardize this result and ensure any filters/thresholds do not need to be recalculated for each...
Has alerts for the TD 9 function, also the black is Z score and blue is STD Dev Also the moon functionality of Ichimoonku is built into this as well because sometimes I just want to see the cycles of moon with TD9 ; see that script (Ichimoonku) for more info on moon functionality. Much love Enjoy GL HF xoxo Snoop
Middle quantile/band color is set by confluence of the outer quantiles and not by it's own slope. Optional MTF.
Study version of the Profit Z strategy. Generates signals based on price and volume Z-Scores. We updated this version to include more alerts, volume Z-scores, and an easily-adjustable stop-loss.
EXPERIMENTAL: market state, text says it all most of the time at least.
This strategy combines OBV Z Scores and price Z Scores to identify divergences and generate entry and exit signals.
This study calculates the On-Balance Volume (OBV) and displays it in terms of its Z-Score. OBV is a great momentum indicator . As the name suggests, OBV predicts changes in price based on the security's volume flow. Formula: if (Current Price > Previous Price) then Current OBV = Previous OBV + Current Volume if (Current Price < Previous Price) then...
Function for standardization or zScore.
This is an experimental study using z scores of multiple sampling periods to analyze price trends. Z score measures the number of standard deviations price is from its mean. In this study, z scores are calculated over a Fibonacci sequence of sampling periods from 3 to 4181. The scores are then averaged with equal weighting, resulting in a display of long term...
A Z-score is a numerical measurement of a value's relationship to the mean in a group of values. If a Z-score is 0, it represents the score as identical to the mean score. Z-scores may also be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean. Positive and negative scores also...