Deutsche Post (Germany) Statistic Functions Standard Deviation

DPWA Stock  EUR 35.20  0.50  1.44%   
Deutsche Post statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Deutsche Post. Deutsche Post value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Standard Deviation function function is designed to identify and follow existing trends. Deutsche Post statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. Deutsche Post AG Standard Deviation measures the spread of Deutsche Post time series from expected value (the mean).

Deutsche Post Technical Analysis Modules

Most technical analysis of Deutsche Post help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Deutsche from various momentum indicators to cycle indicators. When you analyze Deutsche charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Deutsche Post Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Deutsche Post AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Deutsche Post AG based on widely used predictive technical indicators. In general, we focus on analyzing Deutsche Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Deutsche Post's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Deutsche Post's intrinsic value. In addition to deriving basic predictive indicators for Deutsche Post, we also check how macroeconomic factors affect Deutsche Post price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
33.3735.2037.03
Details
Intrinsic
Valuation
LowRealHigh
28.5830.4138.72
Details
Naive
Forecast
LowNextHigh
33.8235.6537.48
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
34.5635.0335.50
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Deutsche Post. Your research has to be compared to or analyzed against Deutsche Post's peers to derive any actionable benefits. When done correctly, Deutsche Post's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Deutsche Post AG.

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Other Information on Investing in Deutsche Stock

Deutsche Post financial ratios help investors to determine whether Deutsche Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Deutsche with respect to the benefits of owning Deutsche Post security.