UBS Money (Germany) Volume Indicators Chaikin AD Line
| UG72 Fund | EUR 1,892 8.52 0.45% |
| Symbol |
Indicator |
The output start index for this execution was zero with a total number of output elements of sixty-one. The Accumulation/Distribution line was developed by Marc Chaikin. It is interpreted by looking at a divergence in the direction of the indicator relative to UBS Money price. If the Accumulation/Distribution Line is trending upward it indicates that the price may follow. If the Accumulation/Distribution Line becomes flat while UBS Money Market price is still rising (or falling) then it signals a flattening of the price values.
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 volume indicators 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.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run Headlines Timeline Now
Headlines TimelineStay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |
| All Next | Launch Module |
UBS Money Market pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if UBS Money position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in UBS Money will appreciate offsetting losses from the drop in the long position's value.UBS Money Pair Trading
UBS Money Market Pair Trading Analysis
The ability to find closely correlated positions to UBS Money could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UBS Money when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back UBS Money - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling UBS Money Market to buy it.
The correlation of UBS Money is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as UBS Money moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UBS Money Market moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for UBS Money can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |