Energy Fuels Stock Overlap Studies Kaufman Adaptive Moving Average
| EFR Stock | CAD 10.19 0.28 2.83% |
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The output start index for this execution was ten with a total number of output elements of fifty-one. The Kaufman Adaptive Moving Average allows the user to define Energy Fuels range across which they want the smoothing.
Energy Fuels Technical Analysis Modules
Most technical analysis of Energy Fuels 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 Energy Fuels 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 Energy Fuels. We use our internally-developed statistical techniques to arrive at the intrinsic value of Energy Fuels based on widely used predictive technical indicators. In general, we focus on analyzing Energy Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Energy Fuels'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 Energy Fuels's intrinsic value. In addition to deriving basic predictive indicators for Energy Fuels, we also check how macroeconomic factors affect Energy Fuels price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 0.6 | 4.24 | 18.07 | 10.92 | Days Of Inventory On Hand | 6.2K | 1.8K | 780.31 | 1.3K |
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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Energy Fuels 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 Energy Fuels 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 Energy Fuels will appreciate offsetting losses from the drop in the long position's value.Energy Fuels Pair Trading
Energy Fuels Pair Trading Analysis
The ability to find closely correlated positions to Energy Fuels could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Energy Fuels 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 Energy Fuels - 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 Energy Fuels to buy it.
The correlation of Energy Fuels 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 Energy Fuels moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Energy Fuels 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 Energy Fuels 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.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Energy Fuels. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Energy Stock, please use our How to Invest in Energy Fuels guide.You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.