Automatic Data Mean Deviation

ADP Stock  EUR 291.10  1.65  0.56%   
Automatic Data mean-deviation technical analysis lookup allows you to check this and other technical indicators for Automatic Data Processing or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also Equity Screeners to view more equity screening tools
  
Automatic Data Processing has current Mean Deviation of 0.8242. The mean deviation of the equity instrument is the first measure of the distances between each value of security historical prices and the mean. It gives us an idea of how spread out from the center the distribution of returns.

Mean Deviation

 = 

SUM(RET DEV)

N

 = 
0.8242
SUM = Summation notation
RET DEV = Sum of return deviations of Automatic Data
N = Number of calculation points for selected time horizon

Automatic Data Mean Deviation Peers Comparison

Automatic Mean Deviation Relative To Other Indicators

Automatic Data Processing is rated below average in mean deviation category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about  6.29  of Maximum Drawdown per Mean Deviation. The ratio of Maximum Drawdown to Mean Deviation for Automatic Data Processing is roughly  6.29 
Mean Deviation is the average of the absolute values of the differences between price distribution numbers and their mean. Mean deviation of equity instrument with a lot of historical data is a biased estimator because the time horizon used in calculation will always be much smaller than the entire price history of the equity. The mean deviation is typically used as a measure of dispersion for small investment horizon, otherwise standard deviation is a better measure of dispersion.
Compare Automatic Data to Peers

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas