Packages (Pakistan) Statistic Functions Beta
| PKGS Stock | 585.10 3.66 0.62% |
| Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on Packages correlated with the market. If Beta is less than 0 Packages generally moves in the opposite direction as compared to the market. If Packages Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Packages is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Packages is generally in the same direction as the market. If Beta > 1 Packages moves generally in the same direction as, but more than the movement of the benchmark.
Packages Technical Analysis Modules
Most technical analysis of Packages 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 Packages from various momentum indicators to cycle indicators. When you analyze Packages 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 Packages 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 Packages. We use our internally-developed statistical techniques to arrive at the intrinsic value of Packages based on widely used predictive technical indicators. In general, we focus on analyzing Packages Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Packages'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 Packages's intrinsic value. In addition to deriving basic predictive indicators for Packages, we also check how macroeconomic factors affect Packages price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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SectorsList of equity sectors categorizing publicly traded companies based on their primary business activities |
| All Next | Launch Module |
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Other Information on Investing in Packages Stock
Packages financial ratios help investors to determine whether Packages 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 Packages with respect to the benefits of owning Packages security.