Discover Financial (Germany) Technical Analysis
| DC7 Stock | EUR 171.90 0.28 0.16% |
As of the 30th of November, Discover Financial shows the Mean Deviation of 2.06, coefficient of variation of 541.3, and Downside Deviation of 1.82. Discover Financial technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Discover Financial information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Discover Financial is priced favorably, providing market reflects its regular price of 171.9 per share.
Discover Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Discover, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DiscoverDiscover |
Discover Financial 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.
Discover Financial Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 Discover Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Discover Financial Trend Analysis
Use this graph to draw trend lines for Discover Financial Services. You can use it to identify possible trend reversals for Discover Financial 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 Discover Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Discover Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Discover Financial Services applied against its price change over selected period. The best fit line has a slop of 1.02 , which means Discover Financial Services will continue generating value for investors. It has 122 observation points and a regression sum of squares at 39601.83, which is the sum of squared deviations for the predicted Discover Financial price change compared to its average price change.About Discover Financial 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 Discover Financial Services 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 Discover Financial Services based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Discover Financial price pattern first instead of the macroeconomic environment surrounding Discover Financial. By analyzing Discover Financial'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 Discover Financial'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 Discover Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Discover Financial November 30, 2024 Technical Indicators
Most technical analysis of Discover 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 Discover from various momentum indicators to cycle indicators. When you analyze Discover 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 | 0.1487 | |||
| Market Risk Adjusted Performance | 0.2446 | |||
| Mean Deviation | 2.06 | |||
| Semi Deviation | 1.5 | |||
| Downside Deviation | 1.82 | |||
| Coefficient Of Variation | 541.3 | |||
| Standard Deviation | 2.98 | |||
| Variance | 8.87 | |||
| Information Ratio | 0.1385 | |||
| Jensen Alpha | 0.2464 | |||
| Total Risk Alpha | 0.043 | |||
| Sortino Ratio | 0.2272 | |||
| Treynor Ratio | 0.2346 | |||
| Maximum Drawdown | 16.14 | |||
| Value At Risk | (3.06) | |||
| Potential Upside | 6.59 | |||
| Downside Variance | 3.3 | |||
| Semi Variance | 2.25 | |||
| Expected Short fall | (2.71) | |||
| Skewness | 1.69 | |||
| Kurtosis | 4.14 |
Complementary Tools for Discover Stock analysis
When running Discover Financial's price analysis, check to measure Discover Financial'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 Discover Financial is operating at the current time. Most of Discover Financial's value examination focuses on studying past and present price action to predict the probability of Discover Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Discover Financial's price. Additionally, you may evaluate how the addition of Discover Financial to your portfolios can decrease your overall portfolio volatility.
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