Alibaba Health (Germany) Technical Analysis
| TWY Stock | 0.45 0.01 2.17% |
As of the 13th of December 2024, Alibaba Health shows the Mean Deviation of 4.18, risk adjusted performance of 0.0897, and Downside Deviation of 5.96. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Alibaba Health, as well as the relationship between them.
Alibaba Health Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alibaba, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlibabaAlibaba |
Alibaba Health 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.
Alibaba Health Infor Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Alibaba Health Infor volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Alibaba Health Infor Trend Analysis
Use this graph to draw trend lines for Alibaba Health Information. You can use it to identify possible trend reversals for Alibaba Health 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 Alibaba Health price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Alibaba Health Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Alibaba Health Information applied against its price change over selected period. The best fit line has a slop of 0.001 , which may suggest that Alibaba Health Information market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted Alibaba Health price change compared to its average price change.About Alibaba Health 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 Alibaba Health Information 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 Alibaba Health Information based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alibaba Health Infor price pattern first instead of the macroeconomic environment surrounding Alibaba Health Infor. By analyzing Alibaba Health'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 Alibaba Health'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 Alibaba Health specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alibaba Health December 13, 2024 Technical Indicators
Most technical analysis of Alibaba 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 Alibaba from various momentum indicators to cycle indicators. When you analyze Alibaba 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0897 | |||
| Market Risk Adjusted Performance | 8.62 | |||
| Mean Deviation | 4.18 | |||
| Semi Deviation | 4.76 | |||
| Downside Deviation | 5.96 | |||
| Coefficient Of Variation | 898.71 | |||
| Standard Deviation | 6.42 | |||
| Variance | 41.22 | |||
| Information Ratio | 0.0939 | |||
| Jensen Alpha | 0.696 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | 0.1011 | |||
| Treynor Ratio | 8.61 | |||
| Maximum Drawdown | 46.78 | |||
| Value At Risk | (5.77) | |||
| Potential Upside | 9.09 | |||
| Downside Variance | 35.54 | |||
| Semi Variance | 22.65 | |||
| Expected Short fall | (5.82) | |||
| Skewness | 0.9593 | |||
| Kurtosis | 5.86 |
Additional Tools for Alibaba Stock Analysis
When running Alibaba Health's price analysis, check to measure Alibaba Health'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 Alibaba Health is operating at the current time. Most of Alibaba Health's value examination focuses on studying past and present price action to predict the probability of Alibaba Health's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alibaba Health's price. Additionally, you may evaluate how the addition of Alibaba Health to your portfolios can decrease your overall portfolio volatility.