Swiss Life Holding Stock Statistic Functions Time Series Forecast

SZLMY Stock  USD 38.47  0.81  2.06%   
Swiss Life statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against Swiss Life. Swiss Life 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 Time Series Forecast function function is designed to identify and follow existing trends. Swiss Life 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.

Execute Function
The output start index for this execution was fifty-nine with a total number of output elements of two. The Time Series Forecast uses simple linear regression to derive Swiss Life Holding best fit line over a given time period and plot it forward over user-defined time period.

Swiss Life Technical Analysis Modules

Most technical analysis of Swiss Life 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 Swiss from various momentum indicators to cycle indicators. When you analyze Swiss 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 Swiss Life 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 Swiss Life Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swiss Life Holding based on widely used predictive technical indicators. In general, we focus on analyzing Swiss Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swiss Life'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 Swiss Life's intrinsic value. In addition to deriving basic predictive indicators for Swiss Life, we also check how macroeconomic factors affect Swiss Life price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
36.9838.4739.96
Details
Intrinsic
Valuation
LowRealHigh
38.0139.5040.99
Details
Naive
Forecast
LowNextHigh
36.5938.0939.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
38.9640.7342.49
Details

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Additional Tools for Swiss Pink Sheet Analysis

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