URBAN OUTFITTERS (Germany) Technical Analysis
| UOF Stock | 65.28 0.80 1.21% |
As of the 7th of December, URBAN OUTFITTERS owns the risk adjusted performance of 0.0427, and Downside Deviation of 1.99. In relation to fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of URBAN OUTFITTERS, as well as the relationship between them.
URBAN OUTFITTERS Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as URBAN, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to URBANURBAN |
URBAN OUTFITTERS 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.
URBAN OUTFITTERS Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of URBAN OUTFITTERS volatility developed by Welles Wilder.
URBAN OUTFITTERS Trend Analysis
Use this graph to draw trend lines for URBAN OUTFITTERS. You can use it to identify possible trend reversals for URBAN OUTFITTERS 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 URBAN OUTFITTERS price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.URBAN OUTFITTERS Best Fit Change Line
The following chart estimates an ordinary least squares regression model for URBAN OUTFITTERS applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that URBAN OUTFITTERS market price will keep on failing further. It has 122 observation points and a regression sum of squares at 11.6, which is the sum of squared deviations for the predicted URBAN OUTFITTERS price change compared to its average price change.About URBAN OUTFITTERS 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 URBAN OUTFITTERS 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 URBAN OUTFITTERS based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on URBAN OUTFITTERS price pattern first instead of the macroeconomic environment surrounding URBAN OUTFITTERS. By analyzing URBAN OUTFITTERS'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 URBAN OUTFITTERS'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 URBAN OUTFITTERS specific price patterns or momentum indicators. Please read more on our technical analysis page.
URBAN OUTFITTERS December 7, 2025 Technical Indicators
Most technical analysis of URBAN 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 URBAN from various momentum indicators to cycle indicators. When you analyze URBAN 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 | 0.0427 | |||
| Market Risk Adjusted Performance | 0.1509 | |||
| Mean Deviation | 1.97 | |||
| Semi Deviation | 1.86 | |||
| Downside Deviation | 1.99 | |||
| Coefficient Of Variation | 1992.98 | |||
| Standard Deviation | 3.63 | |||
| Variance | 13.17 | |||
| Information Ratio | 0.0287 | |||
| Jensen Alpha | 0.0891 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | 0.0524 | |||
| Treynor Ratio | 0.1409 | |||
| Maximum Drawdown | 28.88 | |||
| Value At Risk | (3.37) | |||
| Potential Upside | 3.24 | |||
| Downside Variance | 3.95 | |||
| Semi Variance | 3.45 | |||
| Expected Short fall | (2.42) | |||
| Skewness | 4.64 | |||
| Kurtosis | 30.2 |
URBAN OUTFITTERS December 7, 2025 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 URBAN 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 | 0.02 | ||
| Daily Balance Of Power | (0.71) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 64.72 | ||
| Day Typical Price | 64.91 | ||
| Price Action Indicator | 0.16 | ||
| Market Facilitation Index | 1.12 |
Additional Tools for URBAN Stock Analysis
When running URBAN OUTFITTERS's price analysis, check to measure URBAN OUTFITTERS'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 URBAN OUTFITTERS is operating at the current time. Most of URBAN OUTFITTERS's value examination focuses on studying past and present price action to predict the probability of URBAN OUTFITTERS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move URBAN OUTFITTERS's price. Additionally, you may evaluate how the addition of URBAN OUTFITTERS to your portfolios can decrease your overall portfolio volatility.