China Resources (Germany) Technical Analysis
| CRP Stock | EUR 2.24 0.04 1.75% |
As of the 15th of December 2024, China Resources shows the Risk Adjusted Performance of 0.0615, mean deviation of 1.64, and Downside Deviation of 2.65. China Resources Power 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 China Resources Power coefficient of variation, jensen alpha, potential upside, as well as the relationship between the variance and maximum drawdown to decide if China Resources Power is priced correctly, providing market reflects its regular price of 2.24 per share.
China Resources Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as China, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ChinaChina |
China Resources 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.
China Resources Power 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 China Resources Power volatility. High ATR values indicate high volatility, and low values indicate low volatility.
China Resources Power Trend Analysis
Use this graph to draw trend lines for China Resources Power. You can use it to identify possible trend reversals for China Resources 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 China Resources price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.China Resources Best Fit Change Line
The following chart estimates an ordinary least squares regression model for China Resources Power applied against its price change over selected period. The best fit line has a slop of 0.0036 , which may suggest that China Resources Power market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.49, which is the sum of squared deviations for the predicted China Resources price change compared to its average price change.About China Resources 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 China Resources Power 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 China Resources Power based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on China Resources Power price pattern first instead of the macroeconomic environment surrounding China Resources Power. By analyzing China Resources'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 China Resources'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 China Resources specific price patterns or momentum indicators. Please read more on our technical analysis page.
China Resources December 15, 2024 Technical Indicators
Most technical analysis of China 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 China from various momentum indicators to cycle indicators. When you analyze China 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 | 0.0615 | |||
| Market Risk Adjusted Performance | 0.4094 | |||
| Mean Deviation | 1.64 | |||
| Semi Deviation | 2.39 | |||
| Downside Deviation | 2.65 | |||
| Coefficient Of Variation | 1329.43 | |||
| Standard Deviation | 2.35 | |||
| Variance | 5.53 | |||
| Information Ratio | 0.0326 | |||
| Jensen Alpha | 0.1292 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.029 | |||
| Treynor Ratio | 0.3994 | |||
| Maximum Drawdown | 12.81 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 3.36 | |||
| Downside Variance | 7.01 | |||
| Semi Variance | 5.73 | |||
| Expected Short fall | (1.82) | |||
| Skewness | (0.91) | |||
| Kurtosis | 3.88 |
Complementary Tools for China Stock analysis
When running China Resources' price analysis, check to measure China Resources' 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 China Resources is operating at the current time. Most of China Resources' value examination focuses on studying past and present price action to predict the probability of China Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Resources' price. Additionally, you may evaluate how the addition of China Resources to your portfolios can decrease your overall portfolio volatility.
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