Schoeller Bleckmann (Austria) Statistic Functions Beta

SBO Stock  EUR 28.55  1.95  6.39%   
Schoeller Bleckmann statistic functions tool provides the execution environment for running the Beta function and other technical functions against Schoeller Bleckmann. Schoeller Bleckmann 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 Beta function function is designed to identify and follow existing trends. Schoeller Bleckmann 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.

The output start index for this execution was thirty with a total number of output elements of thirty-one. The Beta measures systematic risk based on how returns on Schoeller Bleckmann correlated with the market. If Beta is less than 0 Schoeller Bleckmann generally moves in the opposite direction as compared to the market. If Schoeller Bleckmann Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Schoeller Bleckmann is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Schoeller Bleckmann is generally in the same direction as the market. If Beta > 1 Schoeller Bleckmann moves generally in the same direction as, but more than the movement of the benchmark.

Schoeller Bleckmann Technical Analysis Modules

Most technical analysis of Schoeller Bleckmann 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 Schoeller from various momentum indicators to cycle indicators. When you analyze Schoeller 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 Schoeller Bleckmann 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 Schoeller Bleckmann Oilfield Equipment. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schoeller Bleckmann Oilfield Equipment based on widely used predictive technical indicators. In general, we focus on analyzing Schoeller Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schoeller Bleckmann'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 Schoeller Bleckmann's intrinsic value. In addition to deriving basic predictive indicators for Schoeller Bleckmann, we also check how macroeconomic factors affect Schoeller Bleckmann price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
26.4528.5530.65
Details
Intrinsic
Valuation
LowRealHigh
27.2429.3431.44
Details
Naive
Forecast
LowNextHigh
26.7128.8130.92
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.9330.0532.17
Details

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Other Information on Investing in Schoeller Stock

Schoeller Bleckmann financial ratios help investors to determine whether Schoeller 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 Schoeller with respect to the benefits of owning Schoeller Bleckmann security.