Facc AG (Austria) Technical Analysis
| FACC Stock | EUR 6.22 0.09 1.47% |
As of the 22nd of November, Facc AG shows the Coefficient Of Variation of (846.96), standard deviation of 1.99, and Mean Deviation of 1.48. Facc AG technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Facc AG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Facc, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FaccFacc |
Facc AG 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.
Facc AG 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 Facc AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Facc AG Trend Analysis
Use this graph to draw trend lines for Facc AG. You can use it to identify possible trend reversals for Facc AG 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 Facc AG price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Facc AG Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Facc AG applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Facc AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.78, which is the sum of squared deviations for the predicted Facc AG price change compared to its average price change.About Facc AG 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 Facc AG 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 Facc AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Facc AG price pattern first instead of the macroeconomic environment surrounding Facc AG. By analyzing Facc AG'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 Facc AG'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 Facc AG specific price patterns or momentum indicators. Please read more on our technical analysis page.
Facc AG November 22, 2024 Technical Indicators
Most technical analysis of Facc 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 Facc from various momentum indicators to cycle indicators. When you analyze Facc 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 1.48 | |||
| Coefficient Of Variation | (846.96) | |||
| Standard Deviation | 1.99 | |||
| Variance | 3.96 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 9.89 | |||
| Value At Risk | (3.29) | |||
| Potential Upside | 4.1 | |||
| Skewness | 0.3382 | |||
| Kurtosis | 0.585 |
Complementary Tools for Facc Stock analysis
When running Facc AG's price analysis, check to measure Facc AG'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 Facc AG is operating at the current time. Most of Facc AG's value examination focuses on studying past and present price action to predict the probability of Facc AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Facc AG's price. Additionally, you may evaluate how the addition of Facc AG to your portfolios can decrease your overall portfolio volatility.
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