Uber Technologies (Germany) Technical Analysis
| UT80 Stock | 7.00 0.10 1.41% |
As of the 3rd of February, Uber Technologies has the Semi Deviation of 10.2, coefficient of variation of 1233.98, and Risk Adjusted Performance of 0.0692. 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 variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Uber Technologies is priced more or less accurately, providing market reflects its prevalent price of 7.0 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Uber Technologies' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Uber Technologies.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Uber Technologies on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Uber Technologies or generate 0.0% return on investment in Uber Technologies over 90 days. Uber Technologies is related to or competes with Uber Technologies, Intuit, Palo Alto, Synopsys, Cadence Design, and Fortinet. Uber Technologies is entity of Germany. It is traded as Stock on F exchange. More
Uber Technologies Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Uber Technologies' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Uber Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 15.39 | |||
| Information Ratio | 0.0795 | |||
| Maximum Drawdown | 353.57 | |||
| Value At Risk | (8.23) | |||
| Potential Upside | 8.28 |
Uber Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Uber Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Uber Technologies' standard deviation. In reality, there are many statistical measures that can use Uber Technologies historical prices to predict the future Uber Technologies' volatility.| Risk Adjusted Performance | 0.0692 | |||
| Jensen Alpha | 3.33 | |||
| Total Risk Alpha | 0.6581 | |||
| Sortino Ratio | 0.1853 | |||
| Treynor Ratio | (0.31) |
Uber Technologies February 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0692 | |||
| Market Risk Adjusted Performance | (0.30) | |||
| Mean Deviation | 9.26 | |||
| Semi Deviation | 10.2 | |||
| Downside Deviation | 15.39 | |||
| Coefficient Of Variation | 1233.98 | |||
| Standard Deviation | 35.88 | |||
| Variance | 1287.72 | |||
| Information Ratio | 0.0795 | |||
| Jensen Alpha | 3.33 | |||
| Total Risk Alpha | 0.6581 | |||
| Sortino Ratio | 0.1853 | |||
| Treynor Ratio | (0.31) | |||
| Maximum Drawdown | 353.57 | |||
| Value At Risk | (8.23) | |||
| Potential Upside | 8.28 | |||
| Downside Variance | 236.82 | |||
| Semi Variance | 103.95 | |||
| Expected Short fall | (14.07) | |||
| Skewness | 7.03 | |||
| Kurtosis | 55.99 |
Uber Technologies Backtested Returns
Uber Technologies is extremely dangerous given 3 months investment horizon. Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0878, which indicates the firm had a 0.0878 % return per unit of risk over the last 3 months. We were able to analyze twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.33% are justified by taking the suggested risk. Use Uber Technologies Coefficient Of Variation of 1233.98, semi deviation of 10.2, and Risk Adjusted Performance of 0.0692 to evaluate company specific risk that cannot be diversified away. Uber Technologies holds a performance score of 6 on a scale of zero to a hundred. The entity has a beta of -9.44, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Uber Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, Uber Technologies is expected to outperform it. Use Uber Technologies jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to analyze future returns on Uber Technologies.
Auto-correlation | 0.42 |
Average predictability
Uber Technologies has average predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Uber Technologies price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Uber Technologies across different markets.
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 February 3, 2026 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 | 0.0692 | |||
| Market Risk Adjusted Performance | (0.30) | |||
| Mean Deviation | 9.26 | |||
| Semi Deviation | 10.2 | |||
| Downside Deviation | 15.39 | |||
| Coefficient Of Variation | 1233.98 | |||
| Standard Deviation | 35.88 | |||
| Variance | 1287.72 | |||
| Information Ratio | 0.0795 | |||
| Jensen Alpha | 3.33 | |||
| Total Risk Alpha | 0.6581 | |||
| Sortino Ratio | 0.1853 | |||
| Treynor Ratio | (0.31) | |||
| Maximum Drawdown | 353.57 | |||
| Value At Risk | (8.23) | |||
| Potential Upside | 8.28 | |||
| Downside Variance | 236.82 | |||
| Semi Variance | 103.95 | |||
| Expected Short fall | (14.07) | |||
| Skewness | 7.03 | |||
| Kurtosis | 55.99 |
Uber Technologies February 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Uber stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 6.95 | ||
| Day Typical Price | 6.97 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.10 |
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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