Cyberagent Adr Stock Statistic Functions Beta
CYGIY Stock | USD 3.85 0.16 3.99% |
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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 CyberAgent ADR correlated with the market. If Beta is less than 0 CyberAgent generally moves in the opposite direction as compared to the market. If CyberAgent Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one CyberAgent ADR is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of CyberAgent is generally in the same direction as the market. If Beta > 1 CyberAgent moves generally in the same direction as, but more than the movement of the benchmark.
CyberAgent Technical Analysis Modules
Most technical analysis of CyberAgent 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 CyberAgent from various momentum indicators to cycle indicators. When you analyze CyberAgent 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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Overlap Studies | ||
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Volume Indicators |
About CyberAgent 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 CyberAgent ADR. We use our internally-developed statistical techniques to arrive at the intrinsic value of CyberAgent ADR based on widely used predictive technical indicators. In general, we focus on analyzing CyberAgent Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CyberAgent'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 CyberAgent's intrinsic value. In addition to deriving basic predictive indicators for CyberAgent, we also check how macroeconomic factors affect CyberAgent price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Trending Themes
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Additional Tools for CyberAgent Pink Sheet Analysis
When running CyberAgent's price analysis, check to measure CyberAgent'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 CyberAgent is operating at the current time. Most of CyberAgent's value examination focuses on studying past and present price action to predict the probability of CyberAgent's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CyberAgent's price. Additionally, you may evaluate how the addition of CyberAgent to your portfolios can decrease your overall portfolio volatility.