Deutsche Telekom (Germany) Pattern Recognition Two Crows

DTEA Stock  EUR 29.40  0.80  2.65%   
Deutsche Telekom pattern recognition tool provides the execution environment for running the Two Crows recognition 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 pattern recognition indicators. As with most other technical indicators, the Two Crows recognition function is designed to identify and follow existing trends. Deutsche Telekom momentum indicators are usually used to generate trading rules based on assumptions that Deutsche Telekom trends in prices tend to continue for long periods.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function did not return any valid pattern recognition events for the selected time horizon. Two Crows is a 3-day pattern that warns about a possible future trend reversal for Deutsche Telekom.

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 pattern recognition 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
28.2530.2032.15
Details
Intrinsic
Valuation
LowRealHigh
27.2529.2031.15
Details
Naive
Forecast
LowNextHigh
26.8828.8330.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.4929.1930.89
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.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Did you try this?

Run Transaction History Now

   

Transaction History

View history of all your transactions and understand their impact on performance
All  Next Launch Module

Deutsche Telekom pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Deutsche Telekom position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Deutsche Telekom will appreciate offsetting losses from the drop in the long position's value.

Deutsche Telekom Pair Trading

Deutsche Telekom AG Pair Trading Analysis

The ability to find closely correlated positions to Deutsche Telekom could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deutsche Telekom when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Deutsche Telekom - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Deutsche Telekom AG to buy it.
The correlation of Deutsche Telekom is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Deutsche Telekom moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Telekom moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Deutsche Telekom can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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.