SM Energy (UK) Statistic Functions Variance

0KZA Stock   40.56  0.59  1.43%   
SM Energy statistic functions tool provides the execution environment for running the Variance function and other technical functions against SM Energy. SM Energy 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 Variance function function is designed to identify and follow existing trends. SM Energy 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 thirteen with a total number of output elements of fourty-eight. SM Energy Variance is a measurement of the price spread between periods of SM Energy price series.

SM Energy Technical Analysis Modules

Most technical analysis of SM Energy 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 0KZA from various momentum indicators to cycle indicators. When you analyze 0KZA 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 SM Energy 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 SM Energy Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of SM Energy Co based on widely used predictive technical indicators. In general, we focus on analyzing 0KZA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SM Energy'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 SM Energy's intrinsic value. In addition to deriving basic predictive indicators for SM Energy, we also check how macroeconomic factors affect SM Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
37.9440.4342.92
Details
Intrinsic
Valuation
LowRealHigh
32.2434.7344.62
Details
Naive
Forecast
LowNextHigh
34.3136.8139.30
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
39.5043.3747.25
Details

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Additional Tools for 0KZA Stock Analysis

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