Carmat (France) Momentum Indicators Stochastic Relative Strength Index

ALCAR Stock  EUR 1.09  0.01  0.91%   
Carmat momentum indicators tool provides the execution environment for running the Stochastic Relative Strength Index indicator 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 momentum indicators indicators. As with most other technical indicators, the Stochastic Relative Strength Index indicator function is designed to identify and follow existing trends. Momentum indicators of Carmat are pattern recognition functions that provide distinct formation on Carmat potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify the following input to run this model: Time Period, Fast-K Period, Fast-D Period, and Fast-D MA.

The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Stochastic Relative Strength Index compares Carmat closing price in relationship to its price range over a given period of time. When the Carmat SRSI reaches up above the upper threshold line, the equity is considered overbought with anticipation a reversal of Carmat trend.

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 momentum indicators 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
0.051.096.38
Details
Intrinsic
Valuation
LowRealHigh
0.051.026.31
Details
Naive
Forecast
LowNextHigh
0.021.066.35
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.951.171.39
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.