Alibaba Group Holding Stock Technical Analysis
| BABAF Stock | USD 10.45 0.35 3.24% |
As of the 3rd of December, Alibaba Group shows the Risk Adjusted Performance of 0.0386, mean deviation of 3.54, and Downside Deviation of 5.07. Alibaba Group Holding 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 Alibaba Group Holding coefficient of variation, jensen alpha, potential upside, as well as the relationship between the variance and maximum drawdown to decide if Alibaba Group Holding is priced correctly, providing market reflects its regular price of 10.45 per share. Given that Alibaba Group has jensen alpha of (0.07), we suggest you to validate Alibaba Group Holding's prevailing market performance to make sure the company can sustain itself at a future point.
Alibaba Group 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 Group technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Alibaba Group Holding Technical Analysis
The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. 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 Group Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Alibaba Group Holding Trend Analysis
Use this graph to draw trend lines for Alibaba Group Holding. You can use it to identify possible trend reversals for Alibaba Group 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 Group price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Alibaba Group Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Alibaba Group Holding applied against its price change over selected period. The best fit line has a slop of 0.002 , which may suggest that Alibaba Group Holding market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.16, which is the sum of squared deviations for the predicted Alibaba Group price change compared to its average price change.About Alibaba Group 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 Group Holding 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 Group Holding based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alibaba Group Holding price pattern first instead of the macroeconomic environment surrounding Alibaba Group Holding. By analyzing Alibaba Group'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 Group'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 Group specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alibaba Group December 3, 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 | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0386 | |||
| Market Risk Adjusted Performance | 0.0923 | |||
| Mean Deviation | 3.54 | |||
| Semi Deviation | 4.27 | |||
| Downside Deviation | 5.07 | |||
| Coefficient Of Variation | 2538.22 | |||
| Standard Deviation | 5.01 | |||
| Variance | 25.08 | |||
| Information Ratio | 0.0146 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.56) | |||
| Sortino Ratio | 0.0144 | |||
| Treynor Ratio | 0.0823 | |||
| Maximum Drawdown | 27.45 | |||
| Value At Risk | (7.64) | |||
| Potential Upside | 10.04 | |||
| Downside Variance | 25.67 | |||
| Semi Variance | 18.23 | |||
| Expected Short fall | (4.52) | |||
| Skewness | 0.197 | |||
| Kurtosis | 1.1 |
Complementary Tools for Alibaba Pink Sheet analysis
When running Alibaba Group's price analysis, check to measure Alibaba Group'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 Group is operating at the current time. Most of Alibaba Group's value examination focuses on studying past and present price action to predict the probability of Alibaba Group'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 Group's price. Additionally, you may evaluate how the addition of Alibaba Group to your portfolios can decrease your overall portfolio volatility.
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