Oracle (Germany) Technical Analysis
| ORC Stock | EUR 151.54 7.04 4.44% |
As of the 13th of January 2025, Oracle holds the Variance of 4.61, coefficient of variation of (68,214), and Risk Adjusted Performance of 0.005. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oracle, as well as the relationship between them. Please check Oracle mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Oracle is priced some-what accurately, providing market reflects its current price of 151.54 per share.
Oracle Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Oracle, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OracleOracle |
Oracle technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Oracle Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Oracle volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oracle Trend Analysis
Use this graph to draw trend lines for Oracle. You can use it to identify possible trend reversals for Oracle as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Oracle price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oracle Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oracle applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Oracle market price will keep on failing further. It has 122 observation points and a regression sum of squares at 15.56, which is the sum of squared deviations for the predicted Oracle price change compared to its average price change.About Oracle Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Oracle on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Oracle based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Oracle price pattern first instead of the macroeconomic environment surrounding Oracle. By analyzing Oracle's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Oracle's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Oracle specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oracle January 13, 2025 Technical Indicators
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 different 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 |
| Risk Adjusted Performance | 0.005 | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 1.51 | |||
| Coefficient Of Variation | (68,214) | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.61 | |||
| Information Ratio | (0.0006) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 0.0177 | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 14.8 | |||
| Value At Risk | (3.77) | |||
| Potential Upside | 3.0 | |||
| Skewness | 0.0411 | |||
| Kurtosis | 3.27 |
Complementary 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.
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