Oracle (Germany) Statistic Functions Beta
| ORC Stock | 175.80 1.10 0.63% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Oracle correlated with the market. If Beta is less than 0 Oracle generally moves in the opposite direction as compared to the market. If Oracle Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Oracle is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Oracle is generally in the same direction as the market. If Beta > 1 Oracle moves generally in the same direction as, but more than the movement of the benchmark.
Oracle Technical Analysis Modules
Most technical analysis of Oracle 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 Oracle from various momentum indicators to cycle indicators. When you analyze Oracle 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 Oracle 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 Oracle. We use our internally-developed statistical techniques to arrive at the intrinsic value of Oracle based on widely used predictive technical indicators. In general, we focus on analyzing Oracle Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Oracle'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 Oracle's intrinsic value. In addition to deriving basic predictive indicators for Oracle, we also check how macroeconomic factors affect Oracle 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 Oracle'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 Oracle Stock Analysis
When running Oracle's price analysis, check to measure Oracle'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 Oracle is operating at the current time. Most of Oracle's value examination focuses on studying past and present price action to predict the probability of Oracle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oracle's price. Additionally, you may evaluate how the addition of Oracle to your portfolios can decrease your overall portfolio volatility.