Super Energy (Indonesia) Statistic Functions Beta
SURE Stock | IDR 2,310 80.00 3.35% |
Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Super Energy Tbk correlated with the market. If Beta is less than 0 Super Energy generally moves in the opposite direction as compared to the market. If Super Energy Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Super Energy Tbk is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Super Energy is generally in the same direction as the market. If Beta > 1 Super Energy moves generally in the same direction as, but more than the movement of the benchmark.
Super Energy Technical Analysis Modules
Most technical analysis of Super 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 Super from various momentum indicators to cycle indicators. When you analyze Super 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Super 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 Super Energy Tbk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Super Energy Tbk based on widely used predictive technical indicators. In general, we focus on analyzing Super Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Super 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 Super Energy's intrinsic value. In addition to deriving basic predictive indicators for Super Energy, we also check how macroeconomic factors affect Super 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 Super 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, Super Energy's short interest history, or implied volatility extrapolated from Super Energy options trading.
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Other Information on Investing in Super Stock
Super Energy financial ratios help investors to determine whether Super Stock 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 Super with respect to the benefits of owning Super Energy security.