Global Data (Australia) Statistic Functions Beta
| GDC Stock | 1.43 0.01 0.70% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Global Data Centre correlated with the market. If Beta is less than 0 Global Data generally moves in the opposite direction as compared to the market. If Global Data Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Global Data Centre is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Global Data is generally in the same direction as the market. If Beta > 1 Global Data moves generally in the same direction as, but more than the movement of the benchmark.
Global Data Technical Analysis Modules
Most technical analysis of Global Data 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 Global from various momentum indicators to cycle indicators. When you analyze Global 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Global Data 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 Global Data Centre. We use our internally-developed statistical techniques to arrive at the intrinsic value of Global Data Centre based on widely used predictive technical indicators. In general, we focus on analyzing Global Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Global Data'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 Global Data's intrinsic value. In addition to deriving basic predictive indicators for Global Data, we also check how macroeconomic factors affect Global Data price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Alpha FinderUse alpha and beta coefficients to find investment opportunities after accounting for the risk |
| All Next | Launch Module |
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Additional Tools for Global Stock Analysis
When running Global Data's price analysis, check to measure Global Data'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 Global Data is operating at the current time. Most of Global Data's value examination focuses on studying past and present price action to predict the probability of Global Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Global Data's price. Additionally, you may evaluate how the addition of Global Data to your portfolios can decrease your overall portfolio volatility.