Kopernik International Fund Volatility Indicators Average True Range
KGIRX Fund | USD 13.64 0.10 0.73% |
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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 Kopernik International volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kopernik International Technical Analysis Modules
Most technical analysis of Kopernik International 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 Kopernik from various momentum indicators to cycle indicators. When you analyze Kopernik 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 Kopernik International 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 Kopernik International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Kopernik International based on widely used predictive technical indicators. In general, we focus on analyzing Kopernik Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Kopernik International'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 Kopernik International's intrinsic value. In addition to deriving basic predictive indicators for Kopernik International, we also check how macroeconomic factors affect Kopernik International 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 Kopernik Mutual Fund
Kopernik International financial ratios help investors to determine whether Kopernik 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 Kopernik with respect to the benefits of owning Kopernik International security.
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