State Bank (Germany) Technical Analysis
SID Stock | EUR 89.00 0.50 0.56% |
As of the 23rd of November, State Bank has the Coefficient Of Variation of 3101.32, semi deviation of 1.45, and Risk Adjusted Performance of 0.0305. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of State Bank, as well as the relationship between them. Please validate State Bank coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if State Bank is priced more or less accurately, providing market reflects its prevalent price of 89.0 per share.
State Bank Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as State, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StateState |
State Bank 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.
State Bank Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 State Bank volatility. High ATR values indicate high volatility, and low values indicate low volatility.
State Bank Trend Analysis
Use this graph to draw trend lines for State Bank of. You can use it to identify possible trend reversals for State Bank 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 State Bank price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.State Bank Best Fit Change Line
The following chart estimates an ordinary least squares regression model for State Bank of applied against its price change over selected period. The best fit line has a slop of 0.11 , which means State Bank of will continue generating value for investors. It has 122 observation points and a regression sum of squares at 498.49, which is the sum of squared deviations for the predicted State Bank price change compared to its average price change.About State Bank 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 State Bank of 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 State Bank of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on State Bank price pattern first instead of the macroeconomic environment surrounding State Bank. By analyzing State Bank'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 State Bank'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 State Bank specific price patterns or momentum indicators. Please read more on our technical analysis page.
State Bank November 23, 2024 Technical Indicators
Most technical analysis of State 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 State from various momentum indicators to cycle indicators. When you analyze State 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 | 0.0305 | |||
Market Risk Adjusted Performance | (0.23) | |||
Mean Deviation | 1.31 | |||
Semi Deviation | 1.45 | |||
Downside Deviation | 1.8 | |||
Coefficient Of Variation | 3101.32 | |||
Standard Deviation | 1.86 | |||
Variance | 3.47 | |||
Information Ratio | (0.03) | |||
Jensen Alpha | 0.071 | |||
Total Risk Alpha | (0.19) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | (0.24) | |||
Maximum Drawdown | 10.28 | |||
Value At Risk | (2.82) | |||
Potential Upside | 2.38 | |||
Downside Variance | 3.26 | |||
Semi Variance | 2.11 | |||
Expected Short fall | (1.72) | |||
Skewness | 1.08 | |||
Kurtosis | 3.38 |
Complementary Tools for State Stock analysis
When running State Bank's price analysis, check to measure State Bank'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 State Bank is operating at the current time. Most of State Bank's value examination focuses on studying past and present price action to predict the probability of State Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move State Bank's price. Additionally, you may evaluate how the addition of State Bank to your portfolios can decrease your overall portfolio volatility.
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