Panda Financial (China) Technical Analysis
| 600599 Stock | 11.23 0.17 1.49% |
As of the 31st of January, Panda Financial holds the Risk Adjusted Performance of 0.0109, coefficient of variation of 24899.36, and Semi Deviation of 3.26. Panda Financial Holding technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the company's future prices.
Panda Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Panda, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PandaPanda |
Panda Financial 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.
Panda Financial Holding Technical Analysis
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 Panda Financial Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Panda Financial Holding Trend Analysis
Use this graph to draw trend lines for Panda Financial Holding. You can use it to identify possible trend reversals for Panda Financial 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 Panda Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Panda Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Panda Financial Holding applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Panda Financial Holding market price will keep on failing further. It has 122 observation points and a regression sum of squares at 63.8, which is the sum of squared deviations for the predicted Panda Financial price change compared to its average price change.About Panda Financial 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 Panda Financial Holding 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 Panda Financial Holding based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Panda Financial Holding price pattern first instead of the macroeconomic environment surrounding Panda Financial Holding. By analyzing Panda Financial'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 Panda Financial'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 Panda Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Panda Financial January 31, 2025 Technical Indicators
Most technical analysis of Panda 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 Panda from various momentum indicators to cycle indicators. When you analyze Panda 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 | 0.0109 | |||
| Market Risk Adjusted Performance | (0.1) | |||
| Mean Deviation | 2.94 | |||
| Semi Deviation | 3.26 | |||
| Downside Deviation | 3.36 | |||
| Coefficient Of Variation | 24899.36 | |||
| Standard Deviation | 3.47 | |||
| Variance | 12.01 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0071 | |||
| Total Risk Alpha | (0.37) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.11) | |||
| Maximum Drawdown | 10.06 | |||
| Value At Risk | (5.02) | |||
| Potential Upside | 5.01 | |||
| Downside Variance | 11.26 | |||
| Semi Variance | 10.61 | |||
| Expected Short fall | (3.25) | |||
| Skewness | 0.0685 | |||
| Kurtosis | (1.24) |
Complementary Tools for Panda Stock analysis
When running Panda Financial's price analysis, check to measure Panda Financial'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 Panda Financial is operating at the current time. Most of Panda Financial's value examination focuses on studying past and present price action to predict the probability of Panda Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Panda Financial's price. Additionally, you may evaluate how the addition of Panda Financial to your portfolios can decrease your overall portfolio volatility.
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