UBS Money (Germany) Math Transform Price Ceiling Movement
| UG72 Fund | EUR 1,922 9.42 0.49% |
| Symbol |
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. UBS Money Price Ceiling Movement function is a real number to the largest previous price integer.
UBS Money Technical Analysis Modules
Most technical analysis of UBS Money 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 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 |
About UBS Money Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of UBS Money Market. We use our internally-developed statistical techniques to arrive at the intrinsic value of UBS Money Market based on widely used predictive technical indicators. In general, we focus on analyzing UBS Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UBS Money's daily price indicators and compare them against related drivers, such as math transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of UBS Money's intrinsic value. In addition to deriving basic predictive indicators for UBS Money, we also check how macroeconomic factors affect UBS Money price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Align your values with your investing style
In addition to having UBS Money in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Hedge Favorites Invested over 40 shares | |
 | Dividend Beast Invested over 50 shares | |
 | Automobiles and Trucks Invested over 200 shares | |
 | Macroaxis Index Invested few shares | |
 | Investor Favorites Invested over 40 shares | |
 | Impulse Invested few shares | |
 | Blockchain Invested few shares | |
 | Semiconductor Invested few shares | |
Other Information on Investing in UBS Fund
UBS Money financial ratios help investors to determine whether UBS Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in UBS with respect to the benefits of owning UBS Money security.
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| Fundamental Analysis View fundamental data based on most recent published financial statements |