Carmat (France) Statistic Functions Beta

ALCAR Stock  EUR 1.15  0.02  1.77%   
Carmat statistic functions tool provides the execution environment for running the Beta function and other technical functions against Carmat. Carmat 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 Beta function function is designed to identify and follow existing trends. Carmat 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.

The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. The Beta measures systematic risk based on how returns on Carmat correlated with the market. If Beta is less than 0 Carmat generally moves in the opposite direction as compared to the market. If Carmat Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Carmat is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Carmat is generally in the same direction as the market. If Beta > 1 Carmat moves generally in the same direction as, but more than the movement of the benchmark.

Carmat Technical Analysis Modules

Most technical analysis of Carmat 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 Carmat from various momentum indicators to cycle indicators. When you analyze Carmat 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 Carmat 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 Carmat. We use our internally-developed statistical techniques to arrive at the intrinsic value of Carmat based on widely used predictive technical indicators. In general, we focus on analyzing Carmat Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Carmat'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 Carmat's intrinsic value. In addition to deriving basic predictive indicators for Carmat, we also check how macroeconomic factors affect Carmat price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.061.136.45
Details
Intrinsic
Valuation
LowRealHigh
0.061.136.45
Details
Naive
Forecast
LowNextHigh
0.031.306.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.031.311.60
Details

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Additional Tools for Carmat Stock Analysis

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