Devon Energy (Mexico) Statistic Functions Beta
| DVN Stock | MXN 635.00 9.55 1.53% |
| Symbol |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Devon Energy correlated with the market. If Beta is less than 0 Devon Energy generally moves in the opposite direction as compared to the market. If Devon Energy Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Devon Energy is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Devon Energy is generally in the same direction as the market. If Beta > 1 Devon Energy moves generally in the same direction as, but more than the movement of the benchmark.
Devon Energy Technical Analysis Modules
Most technical analysis of Devon Energy 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 Devon from various momentum indicators to cycle indicators. When you analyze Devon 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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| Volume Indicators |
About Devon Energy 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 Devon Energy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Devon Energy based on widely used predictive technical indicators. In general, we focus on analyzing Devon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Devon Energy's daily price indicators and compare them against related drivers, such as statistic functions 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 Devon Energy's intrinsic value. In addition to deriving basic predictive indicators for Devon Energy, we also check how macroeconomic factors affect Devon Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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 Devon Energy 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, Devon Energy's short interest history, or implied volatility extrapolated from Devon Energy options trading.
Trending Themes
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Additional Tools for Devon Stock Analysis
When running Devon Energy's price analysis, check to measure Devon Energy's 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 Devon Energy is operating at the current time. Most of Devon Energy's value examination focuses on studying past and present price action to predict the probability of Devon Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Devon Energy's price. Additionally, you may evaluate how the addition of Devon Energy to your portfolios can decrease your overall portfolio volatility.