Flour Mills (Greece) Statistic Functions Beta

KEPEN Stock  EUR 2.22  0.22  11.00%   
Flour Mills statistic functions tool provides the execution environment for running the Beta function and other technical functions against Flour Mills. Flour Mills 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. Flour Mills 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 fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Flour Mills Kepenos correlated with the market. If Beta is less than 0 Flour Mills generally moves in the opposite direction as compared to the market. If Flour Mills Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Flour Mills Kepenos is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Flour Mills is generally in the same direction as the market. If Beta > 1 Flour Mills moves generally in the same direction as, but more than the movement of the benchmark.

Flour Mills Technical Analysis Modules

Most technical analysis of Flour Mills 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 Flour from various momentum indicators to cycle indicators. When you analyze Flour 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 Flour Mills 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 Flour Mills Kepenos. We use our internally-developed statistical techniques to arrive at the intrinsic value of Flour Mills Kepenos based on widely used predictive technical indicators. In general, we focus on analyzing Flour Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Flour Mills'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 Flour Mills's intrinsic value. In addition to deriving basic predictive indicators for Flour Mills, we also check how macroeconomic factors affect Flour Mills price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.102.006.17
Details
Intrinsic
Valuation
LowRealHigh
0.081.615.78
Details
Naive
Forecast
LowNextHigh
0.041.876.04
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2.012.182.35
Details

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Other Information on Investing in Flour Stock

Flour Mills financial ratios help investors to determine whether Flour 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 Flour with respect to the benefits of owning Flour Mills security.