Gungnir Resources Stock Volatility Indicators Average True Range
| GUG Stock | CAD 0.03 0.00 0.00% |
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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Gungnir Resources volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Gungnir Resources Technical Analysis Modules
Most technical analysis of Gungnir Resources 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 Gungnir from various momentum indicators to cycle indicators. When you analyze Gungnir 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 | ||
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About Gungnir Resources 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 Gungnir Resources. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gungnir Resources based on widely used predictive technical indicators. In general, we focus on analyzing Gungnir Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gungnir Resources'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 Gungnir Resources's intrinsic value. In addition to deriving basic predictive indicators for Gungnir Resources, we also check how macroeconomic factors affect Gungnir Resources price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2023 | 2024 (projected) | Days Sales Outstanding | 4.4K | 2.3K | PTB Ratio | 0.71 | 1.27 |
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Gungnir Resources pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Gungnir Resources position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Gungnir Resources will appreciate offsetting losses from the drop in the long position's value.Gungnir Resources Pair Trading
Gungnir Resources Pair Trading Analysis
The ability to find closely correlated positions to Gungnir Resources could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gungnir Resources when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Gungnir Resources - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Gungnir Resources to buy it.
The correlation of Gungnir Resources is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Gungnir Resources moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gungnir Resources moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Gungnir Resources can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Gungnir Stock Analysis
When running Gungnir Resources' price analysis, check to measure Gungnir Resources' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gungnir Resources is operating at the current time. Most of Gungnir Resources' value examination focuses on studying past and present price action to predict the probability of Gungnir Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gungnir Resources' price. Additionally, you may evaluate how the addition of Gungnir Resources to your portfolios can decrease your overall portfolio volatility.