UBS Institutional (Switzerland) Technical Analysis
0P0000IOZ4 | 2,693 0.00 0.00% |
UBS Institutional Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as UBS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UBSUBS |
UBS Institutional technical fund 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, fund market cycles, or different charting patterns.
UBS Institutional Technical Analysis
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UBS Institutional Trend Analysis
Use this graph to draw trend lines for UBS Institutional. You can use it to identify possible trend reversals for UBS Institutional 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 UBS Institutional price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.UBS Institutional Best Fit Change Line
The following chart estimates an ordinary least squares regression model for UBS Institutional applied against its price change over selected period. The best fit line has a slop of 3.59 , which means UBS Institutional will continue producing value for investors. It has 122 observation points and a regression sum of squares at 488354.17, which is the sum of squared deviations for the predicted UBS Institutional price change compared to its average price change.UBS Institutional January 7, 2025 Technical Indicators
Most technical analysis of UBS 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 UBS from various momentum indicators to cycle indicators. When you analyze UBS 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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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
Risk Adjusted Performance | 0.1273 | |||
Market Risk Adjusted Performance | 0.7659 | |||
Mean Deviation | 0.5392 | |||
Semi Deviation | 0.639 | |||
Downside Deviation | 0.8486 | |||
Coefficient Of Variation | 633.79 | |||
Standard Deviation | 0.7811 | |||
Variance | 0.61 | |||
Information Ratio | 0.1218 | |||
Jensen Alpha | 0.1105 | |||
Total Risk Alpha | 0.0958 | |||
Sortino Ratio | 0.1121 | |||
Treynor Ratio | 0.7559 | |||
Maximum Drawdown | 5.58 | |||
Value At Risk | (0.89) | |||
Potential Upside | 1.23 | |||
Downside Variance | 0.7201 | |||
Semi Variance | 0.4083 | |||
Expected Short fall | (0.56) | |||
Skewness | (0.1) | |||
Kurtosis | 3.78 |
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