Alzinova (Sweden) Statistic Functions Standard Deviation

ALZ Stock  SEK 3.82  0.04  1.06%   
Alzinova statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Alzinova. Alzinova 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 Standard Deviation function function is designed to identify and follow existing trends. Alzinova statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. Alzinova AB Standard Deviation measures the spread of Alzinova time series from expected value (the mean).

Alzinova Technical Analysis Modules

Most technical analysis of Alzinova 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 Alzinova from various momentum indicators to cycle indicators. When you analyze Alzinova 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 Alzinova 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 Alzinova AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of Alzinova AB based on widely used predictive technical indicators. In general, we focus on analyzing Alzinova Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Alzinova'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 Alzinova's intrinsic value. In addition to deriving basic predictive indicators for Alzinova, we also check how macroeconomic factors affect Alzinova price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.673.826.97
Details
Intrinsic
Valuation
LowRealHigh
0.163.156.30
Details
Naive
Forecast
LowNextHigh
0.773.927.08
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3.403.704.00
Details

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Additional Tools for Alzinova Stock Analysis

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