Deutsche Post (UK) Pattern Recognition Up and Down gap side by side white lines

0H3Q Stock   34.47  0.28  0.81%   
Deutsche Post pattern recognition tool provides the execution environment for running the Up and Down gap side by side white lines recognition 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 pattern recognition indicators. As with most other technical indicators, the Up and Down gap side by side white lines recognition function is designed to identify and follow existing trends. Deutsche Post momentum indicators are usually used to generate trading rules based on assumptions that Deutsche Post 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 seven with a total number of output elements of fifty-four. The function did not return any valid pattern recognition events for the selected time horizon. The Up/Down-gap side-by-side white line is a continuation pattern that shows Deutsche Post AG bearish trend.

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 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 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
32.9134.4035.89
Details
Intrinsic
Valuation
LowRealHigh
28.6130.1037.92
Details
Naive
Forecast
LowNextHigh
33.8435.3436.83
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
34.2535.0335.80
Details

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Additional Tools for Deutsche Stock Analysis

When running Deutsche Post's price analysis, check to measure Deutsche Post's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Post is operating at the current time. Most of Deutsche Post's value examination focuses on studying past and present price action to predict the probability of Deutsche Post's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Post's price. Additionally, you may evaluate how the addition of Deutsche Post to your portfolios can decrease your overall portfolio volatility.