Malam Team (Israel) Statistic Functions Beta
| MLTM Stock | ILS 8,516 105.00 1.22% |
| Symbol |
The output start index for this execution was thirty with a total number of output elements of thirty-one. The Beta measures systematic risk based on how returns on Malam Team correlated with the market. If Beta is less than 0 Malam Team generally moves in the opposite direction as compared to the market. If Malam Team Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Malam Team is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Malam Team is generally in the same direction as the market. If Beta > 1 Malam Team moves generally in the same direction as, but more than the movement of the benchmark.
Malam Team Technical Analysis Modules
Most technical analysis of Malam Team 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 Malam from various momentum indicators to cycle indicators. When you analyze Malam 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 Malam Team 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 Malam Team. We use our internally-developed statistical techniques to arrive at the intrinsic value of Malam Team based on widely used predictive technical indicators. In general, we focus on analyzing Malam Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Malam Team'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 Malam Team's intrinsic value. In addition to deriving basic predictive indicators for Malam Team, we also check how macroeconomic factors affect Malam Team 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 Malam Stock
Malam Team financial ratios help investors to determine whether Malam 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 Malam with respect to the benefits of owning Malam Team security.