An indicator that calculates click (price change), percentage change, and Z-score changes while displaying outliers based on defined ranges. Outlier Detection: Mark outliers (for price, percentage, Z-score) based on user-defined thresholds. For example, any price movement exceeding a certain Z-score or percentage change could be marked as an outlier and...
Outlier-Free Normalization and Band Pass Filtering We present a technique for normalizing and filtering a given time series, source, in order to improve its stationarity and enhance its features. The technique includes two stages: outlier-free normalization and band pass filtering. Outlier-Free Normalization: In order to normalize source and reduce the impact...
Display outliers in either value change, volume or volume change that significantly deviate from the past. This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma...
Median Absolute Deviation (MAD) is a robust measurement of variability and more resilient against outliers and small samples. This experiment uses MAD as a means of filtering outliers from an SMA calculation. First we construct the equivalent of a Bollinger Band, but based on the median as the basis and a multiple( k ) of MAD as the outlier cutoff. k can be...