ENERGY TRANSFER OPER Statistic Functions Beta
| 29279FAA7 | 94.97 8.32 8.05% |
| Symbol |
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Beta measures systematic risk based on how returns on ENERGY TRANSFER OPER correlated with the market. If Beta is less than 0 ENERGY generally moves in the opposite direction as compared to the market. If ENERGY Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one ENERGY TRANSFER OPER is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of ENERGY is generally in the same direction as the market. If Beta > 1 ENERGY moves generally in the same direction as, but more than the movement of the benchmark.
ENERGY Technical Analysis Modules
Most technical analysis of 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 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About 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 ENERGY TRANSFER OPER. We use our internally-developed statistical techniques to arrive at the intrinsic value of ENERGY TRANSFER OPER based on widely used predictive technical indicators. In general, we focus on analyzing ENERGY Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 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 ENERGY's intrinsic value. In addition to deriving basic predictive indicators for ENERGY, we also check how macroeconomic factors affect ENERGY 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 ENERGY Bond
ENERGY financial ratios help investors to determine whether ENERGY Bond 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 ENERGY with respect to the benefits of owning ENERGY security.