Sonetel AB (Sweden) Statistic Functions Beta

SONE Stock  SEK 4.86  0.28  6.11%   
Sonetel AB statistic functions tool provides the execution environment for running the Beta function and other technical functions against Sonetel AB. Sonetel AB 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. Sonetel AB 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 Sonetel AB correlated with the market. If Beta is less than 0 Sonetel AB generally moves in the opposite direction as compared to the market. If Sonetel AB Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Sonetel AB is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Sonetel AB is generally in the same direction as the market. If Beta > 1 Sonetel AB moves generally in the same direction as, but more than the movement of the benchmark.

Sonetel AB Technical Analysis Modules

Most technical analysis of Sonetel AB 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 Sonetel from various momentum indicators to cycle indicators. When you analyze Sonetel 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 Sonetel AB 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 Sonetel AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sonetel AB based on widely used predictive technical indicators. In general, we focus on analyzing Sonetel Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sonetel AB'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 Sonetel AB's intrinsic value. In addition to deriving basic predictive indicators for Sonetel AB, we also check how macroeconomic factors affect Sonetel AB price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.244.869.97
Details
Intrinsic
Valuation
LowRealHigh
0.214.149.25
Details

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Additional Tools for Sonetel Stock Analysis

When running Sonetel AB's price analysis, check to measure Sonetel AB'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 Sonetel AB is operating at the current time. Most of Sonetel AB's value examination focuses on studying past and present price action to predict the probability of Sonetel AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sonetel AB's price. Additionally, you may evaluate how the addition of Sonetel AB to your portfolios can decrease your overall portfolio volatility.