UBS ETF (Switzerland) Volatility Indicators Average True Range
SMMCHA Etf | CHF 266.00 0.55 0.21% |
Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of UBS ETF SMIM volatility. High ATR values indicate high volatility, and low values indicate low volatility.
UBS ETF Technical Analysis Modules
Most technical analysis of UBS ETF 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 ETF 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 ETF SMIM. We use our internally-developed statistical techniques to arrive at the intrinsic value of UBS ETF SMIM 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 ETF'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 ETF's intrinsic value. In addition to deriving basic predictive indicators for UBS ETF, we also check how macroeconomic factors affect UBS ETF 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 ETF'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.
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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.Generate Optimal Portfolios
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in UBS ETF SMIM. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in rate. For information on how to trade UBS Etf refer to our How to Trade UBS Etf guide.Note that the UBS ETF SMIM information on this page should be used as a complementary analysis to other UBS ETF'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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for UBS Etf analysis
When running UBS ETF's price analysis, check to measure UBS ETF'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 UBS ETF is operating at the current time. Most of UBS ETF's value examination focuses on studying past and present price action to predict the probability of UBS ETF's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UBS ETF's price. Additionally, you may evaluate how the addition of UBS ETF to your portfolios can decrease your overall portfolio volatility.
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