UBS Fund (Switzerland) Volatility Indicators Normalized Average True Range

EGUSAS Etf  USD 49.14  0.21  0.43%   
UBS Fund volatility indicators tool provides the execution environment for running the Normalized Average True Range indicator and other technical functions against UBS Fund. UBS Fund value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of volatility indicators indicators. As with most other technical indicators, the Normalized Average True Range indicator function is designed to identify and follow existing trends. UBS Fund volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

Indicator
Time Period
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The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Normalized Average True Range is used to analyze tradable apportunities for UBS Fund Solutions across different markets.

UBS Fund Technical Analysis Modules

Most technical analysis of UBS Fund 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.

About UBS Fund 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 Fund Solutions. We use our internally-developed statistical techniques to arrive at the intrinsic value of UBS Fund Solutions based on widely used predictive technical indicators. In general, we focus on analyzing UBS Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UBS Fund's daily price indicators and compare them against related drivers, such as volatility 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 Fund's intrinsic value. In addition to deriving basic predictive indicators for UBS Fund, we also check how macroeconomic factors affect UBS Fund price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UBS Fund's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
48.1348.9349.73
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Intrinsic
Valuation
LowRealHigh
48.1948.9949.79
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Naive
Forecast
LowNextHigh
47.5448.3449.14
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Bollinger
Band Projection (param)
LowerMiddle BandUpper
48.8248.9949.16
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Please note, it is not enough to conduct a financial or market analysis of a single entity such as UBS Fund. Your research has to be compared to or analyzed against UBS Fund's peers to derive any actionable benefits. When done correctly, UBS Fund's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in UBS Fund Solutions.

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.

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UBS Fund Solutions 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 Fund 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 Fund will appreciate offsetting losses from the drop in the long position's value.

UBS Fund Pair Trading

UBS Fund Solutions Pair Trading Analysis

The ability to find closely correlated positions to UBS Fund 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 Fund 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 Fund - 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 Fund Solutions to buy it.
The correlation of UBS Fund 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 Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UBS Fund Solutions 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 Fund 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.
Pair CorrelationCorrelation Matching
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in UBS Fund Solutions. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in nation.
Note that the UBS Fund Solutions information on this page should be used as a complementary analysis to other UBS Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Please note, there is a significant difference between UBS Fund's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS Fund is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS Fund's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.