Ming Le (Germany) Technical Analysis
| ML2 Stock | EUR 1.20 0.10 7.69% |
As of the 21st of December, Ming Le secures the Risk Adjusted Performance of 0.0557, mean deviation of 1.55, and Standard Deviation of 5.4. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Ming Le Sports, as well as the relationship between them. Please verify Ming Le Sports treynor ratio, value at risk, kurtosis, as well as the relationship between the maximum drawdown and skewness to decide if Ming Le Sports is priced some-what accurately, providing market reflects its recent price of 1.2 per share.
Ming Le Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ming, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MingMing |
Ming Le 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.
Ming Le Sports 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 Ming Le Sports volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Ming Le Sports Trend Analysis
Use this graph to draw trend lines for Ming Le Sports. You can use it to identify possible trend reversals for Ming Le 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 Ming Le price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ming Le Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ming Le Sports applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Ming Le Sports will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2.03, which is the sum of squared deviations for the predicted Ming Le price change compared to its average price change.About Ming Le 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 Ming Le Sports 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 Ming Le Sports based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Ming Le Sports price pattern first instead of the macroeconomic environment surrounding Ming Le Sports. By analyzing Ming Le'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 Ming Le'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 Ming Le specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ming Le December 21, 2024 Technical Indicators
Most technical analysis of Ming 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 Ming from various momentum indicators to cycle indicators. When you analyze Ming 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 | 0.0557 | |||
| Market Risk Adjusted Performance | (0.37) | |||
| Mean Deviation | 1.55 | |||
| Coefficient Of Variation | 1678.59 | |||
| Standard Deviation | 5.4 | |||
| Variance | 29.16 | |||
| Information Ratio | 0.0536 | |||
| Jensen Alpha | 0.3298 | |||
| Total Risk Alpha | 0.1605 | |||
| Treynor Ratio | (0.38) | |||
| Maximum Drawdown | 47.69 | |||
| Value At Risk | (4.76) | |||
| Skewness | 6.23 | |||
| Kurtosis | 46.43 |
Complementary Tools for Ming Stock analysis
When running Ming Le's price analysis, check to measure Ming Le'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 Ming Le is operating at the current time. Most of Ming Le's value examination focuses on studying past and present price action to predict the probability of Ming Le's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ming Le's price. Additionally, you may evaluate how the addition of Ming Le to your portfolios can decrease your overall portfolio volatility.
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