Uber Technologies (Germany) Technical Analysis
| UT8 Stock | EUR 59.56 0.96 1.64% |
As of the 26th of December, Uber Technologies has the Risk Adjusted Performance of (0.03), coefficient of variation of (2,062), and Variance of 8.91. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Uber Technologies, as well as the relationship between them. Please validate Uber Technologies treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if Uber Technologies is priced more or less accurately, providing market reflects its prevalent price of 59.56 per share.
Uber Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Uber, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UberUber |
Uber Technologies 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.
Uber Technologies Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Uber Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Uber Technologies Trend Analysis
Use this graph to draw trend lines for Uber Technologies. You can use it to identify possible trend reversals for Uber Technologies 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 Uber Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Uber Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Uber Technologies applied against its price change over selected period. The best fit line has a slop of 0.23 , which may suggest that Uber Technologies market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1968.55, which is the sum of squared deviations for the predicted Uber Technologies price change compared to its average price change.About Uber Technologies 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 Uber Technologies 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 Uber Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Uber Technologies price pattern first instead of the macroeconomic environment surrounding Uber Technologies. By analyzing Uber Technologies'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 Uber Technologies'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 Uber Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Uber Technologies December 26, 2024 Technical Indicators
Most technical analysis of Uber 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 Uber from various momentum indicators to cycle indicators. When you analyze Uber 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 2.0 | |||
| Coefficient Of Variation | (2,062) | |||
| Standard Deviation | 2.98 | |||
| Variance | 8.91 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 2.65 | |||
| Skewness | (0.71) | |||
| Kurtosis | 5.24 |
Complementary Tools for Uber Stock analysis
When running Uber Technologies' price analysis, check to measure Uber Technologies' 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 Uber Technologies is operating at the current time. Most of Uber Technologies' value examination focuses on studying past and present price action to predict the probability of Uber Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uber Technologies' price. Additionally, you may evaluate how the addition of Uber Technologies to your portfolios can decrease your overall portfolio volatility.
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