Xiamen ITG (China) Technical Analysis
| 600755 Stock | 6.69 0.01 0.15% |
As of the 30th of December, Xiamen ITG maintains the Mean Deviation of 1.61, market risk adjusted performance of 2.48, and Downside Deviation of 2.46. Xiamen ITG Group 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.
Xiamen ITG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Xiamen, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to XiamenXiamen |
Xiamen ITG 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.
Xiamen ITG Group Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Xiamen ITG Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Xiamen ITG Group Trend Analysis
Use this graph to draw trend lines for Xiamen ITG Group. You can use it to identify possible trend reversals for Xiamen ITG 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 Xiamen ITG price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Xiamen ITG Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Xiamen ITG Group applied against its price change over selected period. The best fit line has a slop of 0.0081 , which may suggest that Xiamen ITG Group market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.48, which is the sum of squared deviations for the predicted Xiamen ITG price change compared to its average price change.About Xiamen ITG 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 Xiamen ITG Group 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 Xiamen ITG Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Xiamen ITG Group price pattern first instead of the macroeconomic environment surrounding Xiamen ITG Group. By analyzing Xiamen ITG'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 Xiamen ITG'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 Xiamen ITG specific price patterns or momentum indicators. Please read more on our technical analysis page.
Xiamen ITG December 30, 2024 Technical Indicators
Most technical analysis of Xiamen 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 Xiamen from various momentum indicators to cycle indicators. When you analyze Xiamen 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 | 0.0913 | |||
| Market Risk Adjusted Performance | 2.48 | |||
| Mean Deviation | 1.61 | |||
| Semi Deviation | 2.04 | |||
| Downside Deviation | 2.46 | |||
| Coefficient Of Variation | 943.36 | |||
| Standard Deviation | 2.48 | |||
| Variance | 6.14 | |||
| Information Ratio | 0.093 | |||
| Jensen Alpha | 0.2504 | |||
| Total Risk Alpha | 0.1837 | |||
| Sortino Ratio | 0.0936 | |||
| Treynor Ratio | 2.47 | |||
| Maximum Drawdown | 17.85 | |||
| Value At Risk | (2.79) | |||
| Potential Upside | 4.99 | |||
| Downside Variance | 6.06 | |||
| Semi Variance | 4.16 | |||
| Expected Short fall | (1.85) | |||
| Skewness | (0.23) | |||
| Kurtosis | 4.82 |
Complementary Tools for Xiamen Stock analysis
When running Xiamen ITG's price analysis, check to measure Xiamen ITG'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 Xiamen ITG is operating at the current time. Most of Xiamen ITG's value examination focuses on studying past and present price action to predict the probability of Xiamen ITG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xiamen ITG's price. Additionally, you may evaluate how the addition of Xiamen ITG to your portfolios can decrease your overall portfolio volatility.
| Transaction History View history of all your transactions and understand their impact on performance | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |