Applied Finance Core Fund Overlap Studies Double Exponential Moving Average
| AFALX Fund | USD 12.01 0.01 0.08% |
| 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 Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Applied Finance Core changes than the simple moving average.
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 Core. We use our internally-developed statistical techniques to arrive at the intrinsic value of Applied Finance Core 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 overlap studies 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.
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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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