Sands China (Germany) Technical Analysis
| 599A Stock | EUR 2.22 0.01 0.45% |
As of the 31st of January, Sands China has the Coefficient Of Variation of (2,935), risk adjusted performance of (0.02), and Variance of 4.88. Sands China technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Sands China standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Sands China is priced more or less accurately, providing market reflects its prevalent price of 2.22 per share.
Sands China Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sands, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SandsSands |
Sands China 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.
Sands China 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 Sands China volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sands China Trend Analysis
Use this graph to draw trend lines for Sands China. You can use it to identify possible trend reversals for Sands China 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 Sands China price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sands China Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sands China applied against its price change over selected period. The best fit line has a slop of 0.0015 , which may suggest that Sands China market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.08, which is the sum of squared deviations for the predicted Sands China price change compared to its average price change.About Sands China 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 Sands China 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 Sands China based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sands China price pattern first instead of the macroeconomic environment surrounding Sands China. By analyzing Sands China'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 Sands China'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 Sands China specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sands China January 31, 2025 Technical Indicators
Most technical analysis of Sands 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 Sands from various momentum indicators to cycle indicators. When you analyze Sands 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.36) | |||
| Mean Deviation | 1.55 | |||
| Coefficient Of Variation | (2,935) | |||
| Standard Deviation | 2.21 | |||
| Variance | 4.88 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (0.37) | |||
| Maximum Drawdown | 13.71 | |||
| Value At Risk | (3.03) | |||
| Potential Upside | 3.59 | |||
| Skewness | 1.02 | |||
| Kurtosis | 3.24 |
Complementary Tools for Sands Stock analysis
When running Sands China's price analysis, check to measure Sands China'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 Sands China is operating at the current time. Most of Sands China's value examination focuses on studying past and present price action to predict the probability of Sands China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sands China's price. Additionally, you may evaluate how the addition of Sands China to your portfolios can decrease your overall portfolio volatility.
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