Carmat (France) Technical Analysis
| ALCAR Stock | EUR 0.97 0.03 3.00% |
As of the 23rd of December, Carmat shows the Mean Deviation of 3.43, risk adjusted performance of (0.10), and Standard Deviation of 5.12. Carmat technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Carmat Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Carmat, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CarmatCarmat |
Carmat technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Carmat Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Carmat volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Carmat Trend Analysis
Use this graph to draw trend lines for Carmat. You can use it to identify possible trend reversals for Carmat as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Carmat price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Carmat Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Carmat applied against its price change over selected period. The best fit line has a slop of 0.0074 , which may suggest that Carmat market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.07, which is the sum of squared deviations for the predicted Carmat price change compared to its average price change.About Carmat Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Carmat on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Carmat based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Carmat price pattern first instead of the macroeconomic environment surrounding Carmat. By analyzing Carmat's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Carmat's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Carmat specific price patterns or momentum indicators. Please read more on our technical analysis page.
Carmat December 23, 2024 Technical Indicators
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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.10) | |||
| Market Risk Adjusted Performance | 3.53 | |||
| Mean Deviation | 3.43 | |||
| Coefficient Of Variation | (722.86) | |||
| Standard Deviation | 5.12 | |||
| Variance | 26.26 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.71) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | 3.52 | |||
| Maximum Drawdown | 27.84 | |||
| Value At Risk | (5.95) | |||
| Potential Upside | 7.53 | |||
| Skewness | (1.24) | |||
| Kurtosis | 7.43 |
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.