Puma Se Stock Statistic Functions Beta
| PUMSY Stock | USD 4.63 0.13 2.89% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on PUMA SE correlated with the market. If Beta is less than 0 PUMA SE generally moves in the opposite direction as compared to the market. If PUMA SE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one PUMA SE is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of PUMA SE is generally in the same direction as the market. If Beta > 1 PUMA SE moves generally in the same direction as, but more than the movement of the benchmark.
PUMA SE Technical Analysis Modules
Most technical analysis of PUMA SE 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 PUMA from various momentum indicators to cycle indicators. When you analyze PUMA 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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About PUMA SE 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 PUMA SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of PUMA SE based on widely used predictive technical indicators. In general, we focus on analyzing PUMA Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build PUMA SE'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 PUMA SE's intrinsic value. In addition to deriving basic predictive indicators for PUMA SE, we also check how macroeconomic factors affect PUMA SE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PUMA SE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for PUMA Pink Sheet Analysis
When running PUMA SE's price analysis, check to measure PUMA SE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy PUMA SE is operating at the current time. Most of PUMA SE's value examination focuses on studying past and present price action to predict the probability of PUMA SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PUMA SE's price. Additionally, you may evaluate how the addition of PUMA SE to your portfolios can decrease your overall portfolio volatility.