Carmat SA (Germany) Technical Analysis
| CXT Stock | EUR 1.12 0.04 3.45% |
As of the 29th of November, Carmat SA shows the Mean Deviation of 3.71, risk adjusted performance of (0.13), and Standard Deviation of 5.49. Carmat SA 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. Please confirm Carmat SA maximum drawdown, as well as the relationship between the potential upside and kurtosis to decide if Carmat SA is priced correctly, providing market reflects its regular price of 1.12 per share.
Carmat SA 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 SA 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 SA Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Carmat SA Trend Analysis
Use this graph to draw trend lines for Carmat SA. You can use it to identify possible trend reversals for Carmat SA 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 SA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Carmat SA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Carmat SA applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Carmat SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 7.44, which is the sum of squared deviations for the predicted Carmat SA price change compared to its average price change.About Carmat SA 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 SA 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 SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Carmat SA price pattern first instead of the macroeconomic environment surrounding Carmat SA. By analyzing Carmat SA'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 SA'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 SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
Carmat SA November 29, 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 | (0.13) | |||
| Market Risk Adjusted Performance | 1.76 | |||
| Mean Deviation | 3.71 | |||
| Coefficient Of Variation | (540.06) | |||
| Standard Deviation | 5.49 | |||
| Variance | 30.11 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.96) | |||
| Total Risk Alpha | (1.85) | |||
| Treynor Ratio | 1.75 | |||
| Maximum Drawdown | 29.33 | |||
| Value At Risk | (8.21) | |||
| Potential Upside | 8.33 | |||
| Skewness | (0.97) | |||
| Kurtosis | 5.04 |
Complementary Tools for Carmat Stock analysis
When running Carmat SA's price analysis, check to measure Carmat SA'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 SA is operating at the current time. Most of Carmat SA's value examination focuses on studying past and present price action to predict the probability of Carmat SA'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 SA's price. Additionally, you may evaluate how the addition of Carmat SA to your portfolios can decrease your overall portfolio volatility.
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