SINGAPORE POST (Germany) Technical Analysis
| SGR Stock | 0.34 0.04 10.53% |
As of the 25th of December, SINGAPORE POST has the risk adjusted performance of 0.0581, and Coefficient Of Variation of 1570.29. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SINGAPORE POST, as well as the relationship between them.
SINGAPORE POST Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SINGAPORE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SINGAPORESINGAPORE |
SINGAPORE POST 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.
SINGAPORE POST Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 SINGAPORE POST volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SINGAPORE POST Trend Analysis
Use this graph to draw trend lines for SINGAPORE POST. You can use it to identify possible trend reversals for SINGAPORE POST 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 SINGAPORE POST price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SINGAPORE POST Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SINGAPORE POST applied against its price change over selected period. The best fit line has a slop of 0.0009 , which means SINGAPORE POST will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.03, which is the sum of squared deviations for the predicted SINGAPORE POST price change compared to its average price change.About SINGAPORE POST 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 SINGAPORE POST 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 SINGAPORE POST based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SINGAPORE POST price pattern first instead of the macroeconomic environment surrounding SINGAPORE POST. By analyzing SINGAPORE POST'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 SINGAPORE POST'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 SINGAPORE POST specific price patterns or momentum indicators. Please read more on our technical analysis page.
SINGAPORE POST December 25, 2024 Technical Indicators
Most technical analysis of SINGAPORE 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 SINGAPORE from various momentum indicators to cycle indicators. When you analyze SINGAPORE 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.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0581 | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 1.73 | |||
| Semi Deviation | 2.17 | |||
| Downside Deviation | 4.47 | |||
| Coefficient Of Variation | 1570.29 | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.92 | |||
| Information Ratio | 0.0478 | |||
| Jensen Alpha | 0.2042 | |||
| Total Risk Alpha | 0.047 | |||
| Sortino Ratio | 0.0301 | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 15.08 | |||
| Value At Risk | (2.86) | |||
| Potential Upside | 5.13 | |||
| Downside Variance | 20.0 | |||
| Semi Variance | 4.72 | |||
| Expected Short fall | (3.74) | |||
| Skewness | (0.21) | |||
| Kurtosis | 4.01 |
Additional Tools for SINGAPORE Stock Analysis
When running SINGAPORE POST's price analysis, check to measure SINGAPORE POST'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 SINGAPORE POST is operating at the current time. Most of SINGAPORE POST's value examination focuses on studying past and present price action to predict the probability of SINGAPORE POST's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SINGAPORE POST's price. Additionally, you may evaluate how the addition of SINGAPORE POST to your portfolios can decrease your overall portfolio volatility.