City Of (Germany) Technical Analysis
CLN Stock | EUR 5.09 0.09 1.74% |
As of the 23rd of November, City Of shows the Risk Adjusted Performance of (0.01), mean deviation of 1.2, and Coefficient Of Variation of (5,973). The City technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm The City coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if The City is priced correctly, providing market reflects its regular price of 5.09 per share.
City Of Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as City, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CityCity |
City Of 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.
The City 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 The City volatility. High ATR values indicate high volatility, and low values indicate low volatility.
The City Trend Analysis
Use this graph to draw trend lines for The City of. You can use it to identify possible trend reversals for City Of 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 City Of price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.City Of Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The City of applied against its price change over selected period. The best fit line has a slop of 0.0007 , which may suggest that The City of market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.02, which is the sum of squared deviations for the predicted City Of price change compared to its average price change.About City Of 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 The City 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 The City of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on The City price pattern first instead of the macroeconomic environment surrounding The City. By analyzing City Of'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 City Of'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 City Of specific price patterns or momentum indicators. Please read more on our technical analysis page.
City Of November 23, 2024 Technical Indicators
Most technical analysis of City 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 City from various momentum indicators to cycle indicators. When you analyze City 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 | (0.01) | |||
Market Risk Adjusted Performance | (0.19) | |||
Mean Deviation | 1.2 | |||
Coefficient Of Variation | (5,973) | |||
Standard Deviation | 1.65 | |||
Variance | 2.73 | |||
Information Ratio | (0.1) | |||
Jensen Alpha | (0.06) | |||
Total Risk Alpha | (0.30) | |||
Treynor Ratio | (0.20) | |||
Maximum Drawdown | 7.43 | |||
Value At Risk | (3.08) | |||
Potential Upside | 3.12 | |||
Skewness | (0.06) | |||
Kurtosis | 0.235 |
Complementary Tools for City Stock analysis
When running City Of's price analysis, check to measure City Of'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 City Of is operating at the current time. Most of City Of's value examination focuses on studying past and present price action to predict the probability of City Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move City Of's price. Additionally, you may evaluate how the addition of City Of to your portfolios can decrease your overall portfolio volatility.
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