Carnegie Clean (Germany) Statistic Functions Time Series Forecast

CNM1 Stock  EUR 0.02  0.0006  2.83%   
Carnegie Clean statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against Carnegie Clean. Carnegie Clean 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. Carnegie Clean 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 twenty-nine with a total number of output elements of thirty-two. The Time Series Forecast uses simple linear regression to derive Carnegie Clean Energy best fit line over a given time period and plot it forward over user-defined time period.

Carnegie Clean Technical Analysis Modules

Most technical analysis of Carnegie Clean 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 Carnegie from various momentum indicators to cycle indicators. When you analyze Carnegie 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 Carnegie Clean 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 Carnegie Clean Energy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Carnegie Clean Energy based on widely used predictive technical indicators. In general, we focus on analyzing Carnegie Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Carnegie Clean'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 Carnegie Clean's intrinsic value. In addition to deriving basic predictive indicators for Carnegie Clean, we also check how macroeconomic factors affect Carnegie Clean price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.000.022.59
Details
Intrinsic
Valuation
LowRealHigh
0.000.022.59
Details
Naive
Forecast
LowNextHigh
0.00040.022.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.020.020.02
Details

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Other Information on Investing in Carnegie Stock

Carnegie Clean financial ratios help investors to determine whether Carnegie Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Carnegie with respect to the benefits of owning Carnegie Clean security.