Applied Finance Explorer Fund Volatility Indicators Average True Range
| AFDVX Fund | USD 23.78 0.32 1.36% |
| Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Applied Finance Explorer volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Applied Finance Technical Analysis Modules
Most technical analysis of Applied Finance 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 Applied from various momentum indicators to cycle indicators. When you analyze Applied 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 Applied Finance 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 Applied Finance Explorer. We use our internally-developed statistical techniques to arrive at the intrinsic value of Applied Finance Explorer based on widely used predictive technical indicators. In general, we focus on analyzing Applied Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Applied Finance'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 Applied Finance's intrinsic value. In addition to deriving basic predictive indicators for Applied Finance, we also check how macroeconomic factors affect Applied Finance 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 Applied Finance'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Applied Finance in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Applied Finance's short interest history, or implied volatility extrapolated from Applied Finance options trading.
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Other Information on Investing in Applied Mutual Fund
Applied Finance financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied Finance security.
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