This indicator creates a normalized consensus from a set of other indicators -- Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Momentum (MOM), Rate of Change (RoC), Relative Strength Index (RSI), the True Strength Index (TSI) Value line, Volume Oscillator, and a normalized Z-score. The consensus is created by giving ranged values to each...
The Capital Line Pack ( CLP ) indicator is a technical analysis tool that is designed to help traders and investors identify potential buying and selling opportunities in financial markets by using, inter alia, kernel regression methodoliges. It is a standalone indicator that can be placed on top of price chart displaying the Base MA, Capital Line and standard...
Our new "Z Pack" indicator is a modified version of the traditional Bollinger Bands indicator, with a bunch of additional features what makes it a powerful tool that allows traders to make informed decisions based on the market's volatility and short-term trend. The z-score of the Bollinger Bands indicator is a measure of how many standard deviations the current...
This is a band based on Z Score. What is Z Score? In layman's terms it's a method of finding outliers within a sequence of numbers. It's highly effective to quantify pump and dumps in the crypto market. The middle line is a simple Exponential Moving Average, you can configure this with whatever period you prefer. It comes default with a period of 247 to...
This script helps assess the relative returns of each leg in a two-legged spread. It shows the z-score of each period's returns, along with a moving average of the difference between the two returns. A negative moving average implies that the second leg is strengthening, on a relative return basis, against the first leg, and vice versa. The inputs are: -...
Last month I published an improved z-score script that goes underneath your chart, which helps to highlight overbought or oversold regimes. It is customizable, and allows changing the periods, whether smoothing capability is desired, whether to use simple or exponential moving averages, and which data source to use (open, high, low, close, ohlc4). Some...
This indicator visualizes in a straight forward way the distance price is away from the mean in absolute standard deviations (Z-score) over a certain lookback period (can be configured). Additionally I've included a moving average of the distance, the MA type can be configured in the settings. Personally using this indicator for some of my algo mean reversion...
This indicator colors the candles according to the z-score of the trading volume. You can easily see the imbalance on the chart. You can use it at any timeframe. In statistics, the standard score (Z-score) is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is...
Basic z score with High and Low bands. If z is positive = uptrend. If z is negative = downtrend. If z > +3 or z < -3 = reverse is possible. H lines can act as a support/resistance. Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is...
This script was created to help me visualize the location of price within all main 7 averages at once (5,10,20,50,100,200,400) It uses the Z Score function which basically tells you the distance between Price and a certain average in units of Standard Deviation. If the indicator has a value above 0, it means price is currently trading above such average. If...
Alpha Trading Volatility Z-SCORE (AVZ) Alpha Trading is a community built by traders, for traders. The development of our indicators follows this same premise. We make indicators that make trading more efficient. We are proud to bring you the Alpha Trading Volatility Z-Score (AVZ). A Z-score is a numerical measurement that describes a value's relationship to the...
The Kolmogorov–Smirnov test aims to tell you if the distribution of prices (or log returns) tends to follow a normal distribution or not. You can read about this test on Wikipedia . It seems to be a basic but trusted measure in the quantitative trading world. When KS-t columns are blue, then it's safe to assume normal distribution. When they are red, the normal...
Our ZVOL DELTA indicator is an outstanding Volume indicator to determine the strength of BUY vs SELLERS Volume in units of Standard Deviation from a set period average, that is, helps you visualize how much BUYERS/SELLERS VOLUME has deviated from the mean. This indicator is part of a bundle of 5 indicators which we call the ZScore Indicator Suite all based on the...
Our ZClassic indicator is an outstanding indicator to determine the position of price in units of Standard Deviation from a set period average, that is, helps you visualize how much price has deviated from the mean. This indicator is part of a bundle of 5 indicators which we call the ZScore Indicator Suite, all based on the ZScore function of statistics, when used...
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'...