Qantas Airways (Germany) Technical Analysis
| QAN Stock | EUR 5.50 0.03 0.54% |
As of the 24th of November, Qantas Airways holds the Semi Deviation of 1.26, risk adjusted performance of 0.267, and Coefficient Of Variation of 293.38. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Qantas Airways, as well as the relationship between them. Please check Qantas Airways value at risk, expected short fall, and the relationship between the treynor ratio and downside variance to decide if Qantas Airways is priced some-what accurately, providing market reflects its current price of 5.5 per share.
Qantas Airways Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Qantas, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QantasQantas |
Qantas Airways 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.
Qantas Airways Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Qantas Airways volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Qantas Airways Trend Analysis
Use this graph to draw trend lines for Qantas Airways Limited. You can use it to identify possible trend reversals for Qantas Airways 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 Qantas Airways price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Qantas Airways Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Qantas Airways Limited applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Qantas Airways Limited will continue generating value for investors. It has 122 observation points and a regression sum of squares at 21.81, which is the sum of squared deviations for the predicted Qantas Airways price change compared to its average price change.About Qantas Airways 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 Qantas Airways Limited 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 Qantas Airways Limited based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Qantas Airways price pattern first instead of the macroeconomic environment surrounding Qantas Airways. By analyzing Qantas Airways'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 Qantas Airways'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 Qantas Airways specific price patterns or momentum indicators. Please read more on our technical analysis page.
Qantas Airways November 24, 2024 Technical Indicators
Most technical analysis of Qantas 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 Qantas from various momentum indicators to cycle indicators. When you analyze Qantas 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.
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.267 | |||
| Market Risk Adjusted Performance | (1.85) | |||
| Mean Deviation | 1.35 | |||
| Semi Deviation | 1.26 | |||
| Downside Deviation | 1.73 | |||
| Coefficient Of Variation | 293.38 | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.07 | |||
| Information Ratio | 0.2662 | |||
| Jensen Alpha | 0.6252 | |||
| Total Risk Alpha | 0.3112 | |||
| Sortino Ratio | 0.2697 | |||
| Treynor Ratio | (1.86) | |||
| Maximum Drawdown | 9.03 | |||
| Value At Risk | (2.71) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 2.99 | |||
| Semi Variance | 1.59 | |||
| Expected Short fall | (1.63) | |||
| Skewness | (0.09) | |||
| Kurtosis | 0.6514 |
Complementary Tools for Qantas Stock analysis
When running Qantas Airways' price analysis, check to measure Qantas Airways' 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 Qantas Airways is operating at the current time. Most of Qantas Airways' value examination focuses on studying past and present price action to predict the probability of Qantas Airways' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qantas Airways' price. Additionally, you may evaluate how the addition of Qantas Airways to your portfolios can decrease your overall portfolio volatility.
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