Zhongfu Information (China) Technical Analysis
| 300659 Stock | 15.52 0.38 2.51% |
As of the 10th of January, Zhongfu Information maintains the Mean Deviation of 3.55, market risk adjusted performance of 0.0035, and Downside Deviation of 4.27. Zhongfu Information technical analysis makes it possible for you to employ past prices and volume data with the intention to determine a pattern that calculates the direction of the company's future prices.
Zhongfu Information Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Zhongfu, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ZhongfuZhongfu |
Zhongfu Information 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.
Zhongfu Information 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 Zhongfu Information volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Zhongfu Information Trend Analysis
Use this graph to draw trend lines for Zhongfu Information. You can use it to identify possible trend reversals for Zhongfu Information 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 Zhongfu Information price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Zhongfu Information Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Zhongfu Information applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Zhongfu Information market price will keep on failing further. It has 122 observation points and a regression sum of squares at 50.46, which is the sum of squared deviations for the predicted Zhongfu Information price change compared to its average price change.About Zhongfu Information 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 Zhongfu Information 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 Zhongfu Information based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Zhongfu Information price pattern first instead of the macroeconomic environment surrounding Zhongfu Information. By analyzing Zhongfu Information'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 Zhongfu Information'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 Zhongfu Information specific price patterns or momentum indicators. Please read more on our technical analysis page.
Zhongfu Information January 10, 2025 Technical Indicators
Most technical analysis of Zhongfu 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 Zhongfu from various momentum indicators to cycle indicators. When you analyze Zhongfu 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 | 0.009 | |||
| Market Risk Adjusted Performance | 0.0035 | |||
| Mean Deviation | 3.55 | |||
| Semi Deviation | 4.2 | |||
| Downside Deviation | 4.27 | |||
| Coefficient Of Variation | 110272.69 | |||
| Standard Deviation | 4.63 | |||
| Variance | 21.43 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.01) | |||
| Maximum Drawdown | 21.18 | |||
| Value At Risk | (7.37) | |||
| Potential Upside | 7.46 | |||
| Downside Variance | 18.21 | |||
| Semi Variance | 17.67 | |||
| Expected Short fall | (3.78) | |||
| Skewness | 0.4903 | |||
| Kurtosis | 0.0939 |
Complementary Tools for Zhongfu Stock analysis
When running Zhongfu Information's price analysis, check to measure Zhongfu Information'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 Zhongfu Information is operating at the current time. Most of Zhongfu Information's value examination focuses on studying past and present price action to predict the probability of Zhongfu Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zhongfu Information's price. Additionally, you may evaluate how the addition of Zhongfu Information to your portfolios can decrease your overall portfolio volatility.
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