C PARAN (Germany) Technical Analysis
| ELP1 Stock | EUR 5.60 0.15 2.75% |
As of the 22nd of December, C PARAN shows the Variance of 5.23, coefficient of variation of (1,006), and Mean Deviation of 1.65. C PARAN EN 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 entity's future prices. Please confirm C PARAN EN value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if C PARAN EN is priced more or less accurately, providing market reflects its regular price of 5.6 per share.
C PARAN Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ELP1, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ELP1ELP1 |
C PARAN 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.
C PARAN EN Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-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 C PARAN EN volatility. High ATR values indicate high volatility, and low values indicate low volatility.
C PARAN EN Trend Analysis
Use this graph to draw trend lines for C PARAN EN. You can use it to identify possible trend reversals for C PARAN 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 C PARAN price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.C PARAN Best Fit Change Line
The following chart estimates an ordinary least squares regression model for C PARAN EN applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that C PARAN EN market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.75, which is the sum of squared deviations for the predicted C PARAN price change compared to its average price change.About C PARAN 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 C PARAN EN 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 C PARAN EN based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on C PARAN EN price pattern first instead of the macroeconomic environment surrounding C PARAN EN. By analyzing C PARAN'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 C PARAN'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 C PARAN specific price patterns or momentum indicators. Please read more on our technical analysis page.
C PARAN December 22, 2024 Technical Indicators
Most technical analysis of ELP1 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 ELP1 from various momentum indicators to cycle indicators. When you analyze ELP1 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 | (0.07) | |||
| Market Risk Adjusted Performance | 1.34 | |||
| Mean Deviation | 1.65 | |||
| Coefficient Of Variation | (1,006) | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.23 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 1.33 | |||
| Maximum Drawdown | 11.29 | |||
| Value At Risk | (4.87) | |||
| Potential Upside | 3.33 | |||
| Skewness | (0.05) | |||
| Kurtosis | 0.5875 |
Complementary Tools for ELP1 Stock analysis
When running C PARAN's price analysis, check to measure C PARAN'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 C PARAN is operating at the current time. Most of C PARAN's value examination focuses on studying past and present price action to predict the probability of C PARAN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move C PARAN's price. Additionally, you may evaluate how the addition of C PARAN to your portfolios can decrease your overall portfolio volatility.
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