WTRG 53 01 MAY 52 Statistic Functions Beta
29670GAG7 | 90.30 1.39 1.52% |
Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on WTRG 53 01 correlated with the market. If Beta is less than 0 29670GAG7 generally moves in the opposite direction as compared to the market. If 29670GAG7 Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one WTRG 53 01 is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of 29670GAG7 is generally in the same direction as the market. If Beta > 1 29670GAG7 moves generally in the same direction as, but more than the movement of the benchmark.
29670GAG7 Technical Analysis Modules
Most technical analysis of 29670GAG7 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 29670GAG7 from various momentum indicators to cycle indicators. When you analyze 29670GAG7 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 29670GAG7 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 WTRG 53 01 MAY 52. We use our internally-developed statistical techniques to arrive at the intrinsic value of WTRG 53 01 MAY 52 based on widely used predictive technical indicators. In general, we focus on analyzing 29670GAG7 Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 29670GAG7'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 29670GAG7's intrinsic value. In addition to deriving basic predictive indicators for 29670GAG7, we also check how macroeconomic factors affect 29670GAG7 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 29670GAG7 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, 29670GAG7's short interest history, or implied volatility extrapolated from 29670GAG7 options trading.
Trending Themes
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Other Information on Investing in 29670GAG7 Bond
29670GAG7 financial ratios help investors to determine whether 29670GAG7 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 29670GAG7 with respect to the benefits of owning 29670GAG7 security.