Vicinity Centres (Germany) Statistic Functions Linear Regression

C98 Stock  EUR 1.29  0.03  2.38%   
Vicinity Centres statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Vicinity Centres. Vicinity Centres 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 function function is designed to identify and follow existing trends. Vicinity Centres 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
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Vicinity Centres and its peer or benchmark and helps predict Vicinity Centres future price from its past values.

Vicinity Centres Technical Analysis Modules

Most technical analysis of Vicinity Centres 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 Vicinity from various momentum indicators to cycle indicators. When you analyze Vicinity 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 Vicinity Centres 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 Vicinity Centres. We use our internally-developed statistical techniques to arrive at the intrinsic value of Vicinity Centres based on widely used predictive technical indicators. In general, we focus on analyzing Vicinity Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Vicinity Centres'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 Vicinity Centres's intrinsic value. In addition to deriving basic predictive indicators for Vicinity Centres, we also check how macroeconomic factors affect Vicinity Centres price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.061.292.64
Details
Intrinsic
Valuation
LowRealHigh
0.061.202.55
Details

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Other Information on Investing in Vicinity Stock

Vicinity Centres financial ratios help investors to determine whether Vicinity 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 Vicinity with respect to the benefits of owning Vicinity Centres security.