CS Real (Switzerland) Technical Analysis
| SIAT Fund | CHF 244.00 4.00 1.61% |
As of the 26th of December, CS Real owns the Coefficient Of Variation of 784.78, standard deviation of 0.9464, and Market Risk Adjusted Performance of (0.59). Our technical analysis interface gives you tools to check timely technical drivers of CS Real Estate, as well as the relationship between them. Please confirm CS Real Estate semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if CS Real Estate is priced fairly, providing market reflects its prevailing price of 244.0 per share.
CS Real Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SIAT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SIATSIAT |
CS Real technical fund 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, fund market cycles, or different charting patterns.
CS Real Estate 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 CS Real Estate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CS Real Estate Trend Analysis
Use this graph to draw trend lines for CS Real Estate. You can use it to identify possible trend reversals for CS Real 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 CS Real price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CS Real Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CS Real Estate applied against its price change over selected period. The best fit line has a slop of 0.19 , which means CS Real Estate will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1329.89, which is the sum of squared deviations for the predicted CS Real price change compared to its average price change.About CS Real 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 CS Real Estate 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 CS Real Estate based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on CS Real Estate price pattern first instead of the macroeconomic environment surrounding CS Real Estate. By analyzing CS Real'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 CS Real'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 CS Real specific price patterns or momentum indicators. Please read more on our technical analysis page.
CS Real December 26, 2024 Technical Indicators
Most technical analysis of SIAT 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 SIAT from various momentum indicators to cycle indicators. When you analyze SIAT 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 | 0.1034 | |||
| Market Risk Adjusted Performance | (0.59) | |||
| Mean Deviation | 0.7208 | |||
| Semi Deviation | 0.8309 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 784.78 | |||
| Standard Deviation | 0.9464 | |||
| Variance | 0.8957 | |||
| Information Ratio | 0.0802 | |||
| Jensen Alpha | 0.117 | |||
| Total Risk Alpha | 0.0695 | |||
| Sortino Ratio | 0.0654 | |||
| Treynor Ratio | (0.60) | |||
| Maximum Drawdown | 5.19 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.64 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 0.6904 | |||
| Expected Short fall | (0.86) | |||
| Skewness | (0.45) | |||
| Kurtosis | 0.9709 |
Other Information on Investing in SIAT Fund
CS Real financial ratios help investors to determine whether SIAT Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SIAT with respect to the benefits of owning CS Real security.
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