Ranger Energy Services Stock Statistic Functions Beta
| RNGR Stock | USD 11.95 0.20 1.65% |
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The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on Ranger Energy Services correlated with the market. If Beta is less than 0 Ranger Energy generally moves in the opposite direction as compared to the market. If Ranger Energy Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Ranger Energy Services is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Ranger Energy is generally in the same direction as the market. If Beta > 1 Ranger Energy moves generally in the same direction as, but more than the movement of the benchmark.
Ranger Energy Technical Analysis Modules
Most technical analysis of Ranger 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 Ranger from various momentum indicators to cycle indicators. When you analyze Ranger 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 Ranger 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 Ranger Energy Services. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ranger Energy Services based on widely used predictive technical indicators. In general, we focus on analyzing Ranger Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ranger 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 Ranger Energy's intrinsic value. In addition to deriving basic predictive indicators for Ranger Energy, we also check how macroeconomic factors affect Ranger Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2023 | 2024 (projected) | Dividend Yield | 0.011 | 0.0104 | Price To Sales Ratio | 0.4 | 0.38 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ranger Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Ranger Energy Services 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 Ranger Energy 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 Ranger Energy will appreciate offsetting losses from the drop in the long position's value.Ranger Energy Pair Trading
Ranger Energy Services Pair Trading Analysis
The ability to find closely correlated positions to Ranger Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ranger Energy 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 Ranger Energy - 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 Ranger Energy Services to buy it.
The correlation of Ranger Energy 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 Ranger Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ranger Energy Services 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 Ranger Energy 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 Ranger Stock Analysis
When running Ranger Energy's price analysis, check to measure Ranger 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 Ranger Energy is operating at the current time. Most of Ranger Energy's value examination focuses on studying past and present price action to predict the probability of Ranger 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 Ranger Energy's price. Additionally, you may evaluate how the addition of Ranger Energy to your portfolios can decrease your overall portfolio volatility.