COSMO Pharmaceuticals (Switzerland) Statistic Functions Time Series Forecast

COPN Stock  CHF 61.30  0.80  1.32%   
COSMO Pharmaceuticals statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against COSMO Pharmaceuticals. COSMO Pharmaceuticals 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. COSMO Pharmaceuticals 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
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Time Series Forecast uses simple linear regression to derive COSMO Pharmaceuticals best fit line over a given time period and plot it forward over user-defined time period.

COSMO Pharmaceuticals Technical Analysis Modules

Most technical analysis of COSMO Pharmaceuticals 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 COSMO from various momentum indicators to cycle indicators. When you analyze COSMO 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 COSMO Pharmaceuticals 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 COSMO Pharmaceuticals SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of COSMO Pharmaceuticals SA based on widely used predictive technical indicators. In general, we focus on analyzing COSMO Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build COSMO Pharmaceuticals'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 COSMO Pharmaceuticals's intrinsic value. In addition to deriving basic predictive indicators for COSMO Pharmaceuticals, we also check how macroeconomic factors affect COSMO Pharmaceuticals price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
59.5360.5061.47
Details
Intrinsic
Valuation
LowRealHigh
51.6752.6366.55
Details
Naive
Forecast
LowNextHigh
57.3358.3059.26
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
57.0565.8674.67
Details

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Additional Tools for COSMO Stock Analysis

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