Quantified Tactical Sectors Fund Volatility Indicators Average True Range
QTSSX Fund | USD 7.49 0.10 1.32% |
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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Quantified Tactical volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Quantified Tactical Technical Analysis Modules
Most technical analysis of Quantified Tactical 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 Quantified from various momentum indicators to cycle indicators. When you analyze Quantified 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 Quantified Tactical 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 Quantified Tactical Sectors. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantified Tactical Sectors based on widely used predictive technical indicators. In general, we focus on analyzing Quantified Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quantified Tactical'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 Quantified Tactical's intrinsic value. In addition to deriving basic predictive indicators for Quantified Tactical, we also check how macroeconomic factors affect Quantified Tactical 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 Quantified Tactical'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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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.Investor Favorites Invested over 40 shares | ||
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Investing Invested few shares | ||
Semiconductor Invested few shares | ||
Millennials Best Invested few shares | ||
Other Information on Investing in Quantified Mutual Fund
Quantified Tactical financial ratios help investors to determine whether Quantified Mutual 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 Quantified with respect to the benefits of owning Quantified Tactical security.
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
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