Spirit Of America Fund Volatility Indicators Normalized Average True Range
SOAEX Fund | USD 14.19 0.06 0.42% |
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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 Spirit Of America across different markets.
Spirit Of Technical Analysis Modules
Most technical analysis of Spirit Of 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 Spirit from various momentum indicators to cycle indicators. When you analyze Spirit 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 Spirit Of 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 Spirit Of America. We use our internally-developed statistical techniques to arrive at the intrinsic value of Spirit Of America based on widely used predictive technical indicators. In general, we focus on analyzing Spirit Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Spirit Of'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 Spirit Of's intrinsic value. In addition to deriving basic predictive indicators for Spirit Of, we also check how macroeconomic factors affect Spirit Of 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 Spirit Of'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.Gambling Invested over 90 shares | ||
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Adviser Favorites Invested few shares | ||
Cash Cows Invested few shares | ||
Momentum Invested over 50 shares | ||
Chemicals Invested over 30 shares | ||
Macroaxis Picks Invested over 30 shares | ||
Artificial Intelligence Invested few shares |
Other Information on Investing in Spirit Mutual Fund
Spirit Of financial ratios help investors to determine whether Spirit 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 Spirit with respect to the benefits of owning Spirit Of security.
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |