Deutsche Telekom (Germany) Statistic Functions Linear Regression Slope

DTEA Stock  EUR 29.40  0.80  2.65%   
Deutsche Telekom statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Deutsche Telekom. Deutsche Telekom 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 Linear Regression Slope function function is designed to identify and follow existing trends. Deutsche Telekom statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression Slope is the rate of change in Deutsche Telekom price series over its benchmark or peer price series.

Deutsche Telekom Technical Analysis Modules

Most technical analysis of Deutsche Telekom 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 Telekom 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 Telekom AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Deutsche Telekom 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 Telekom'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 Telekom's intrinsic value. In addition to deriving basic predictive indicators for Deutsche Telekom, we also check how macroeconomic factors affect Deutsche Telekom price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
27.4729.4031.33
Details
Intrinsic
Valuation
LowRealHigh
26.8728.8030.73
Details
Naive
Forecast
LowNextHigh
26.4328.3630.29
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.8729.8030.73
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Deutsche Telekom. Your research has to be compared to or analyzed against Deutsche Telekom's peers to derive any actionable benefits. When done correctly, Deutsche Telekom'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 Telekom.

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Other Information on Investing in Deutsche Stock

Deutsche Telekom 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 Telekom security.