Outlier
An outlier is a price data point that lies far away from the trendline. See also: Moving Averages
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Outlier
A value removed from the other values to such an extreme that its presence cannot be attributed to the random combination of chance causes.
Some of the outliers are even scarier. Netflix (Nasdaq: NFLX ) may be the hottest stock on the block these days, but at an EV/FCF/Growth ratio of 3.2, it's priced for perfection. When I noticed that Under Armour (NYSE: UA ) now scores a 4.
12 The borderline nonstationarity of USDDEM could be due to heteroskedasticity in the residuals and/or due to additive outliers.
Luque[3] approaches the problem with outliers by performing linear regressions over the set of data points (input, output). The algorithm deals with the data by allocating regions for noisy data.
Median absolute deviation, a statistical measure of variability, more resistant to outliers
Mean absolute distance, a mathematical function
Meg and Dia, American indie rock band ...
One of the greatest problems with an average however, is that it can be subjected to distortion due to the presence of one or more extreme values called outliers.
Five weeks ago, in Economic Data: Divergence or Confirmation for Stocks? I looked at some of the disappointing January economic numbers and wondered if these were outliers that the market should ignore or an indication that the economy was losing ...
Traders use dot charts to determine the gaps and to easily identify outliers. Through this chart, traders do not need sophisticated tools to determine whether a closing price is an indication of falling markets or whether it is an exceptional case.
Such risks include advisers whose clients’ assets are held with an affiliate, as opposed to an independent entity; hedge funds that seem to have “smooth' or outlier returns; firms that use an unknown auditor or no auditor at all; ...
Professor Jeremy Siegel has argued in recent years that there is no small firm effect if this period is not considered. To us, though, this applies selective logic, since it throws out one set of outliers while preserving the other, ...
Example: an oscillator must be more than 70% or less than 30%.
Volume: indicators usually have more significance when they are based on higher volume, which reduces the influence of outliers which are more likely to give false signals.
Outlier: A data point notably further out from the central value than the others.
Out-of-Sample: An item within the range of a sample that does not conform to the mean of the sample.
 See also: Market, Stock, Average, Trading, Point
  
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