Swiss Helvetia Closed Fund Technical Analysis
| SWZ Fund | USD 8.45 0.05 0.60% |
As of the 18th of January 2025, Swiss Helvetia has the Semi Deviation of 1.04, risk adjusted performance of 0.0133, and Coefficient Of Variation of 8125.59. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swiss Helvetia Closed, as well as the relationship between them.
Swiss Helvetia Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Swiss, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SwissSwiss |
Swiss Helvetia 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.
Swiss Helvetia Closed 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 Swiss Helvetia Closed volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Swiss Helvetia Closed Trend Analysis
Use this graph to draw trend lines for Swiss Helvetia Closed. You can use it to identify possible trend reversals for Swiss Helvetia 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 Swiss Helvetia price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Swiss Helvetia Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Swiss Helvetia Closed applied against its price change over selected period. The best fit line has a slop of 0.004 , which may imply that the returns on investment in Swiss Helvetia Closed will continue to fail. It has 122 observation points and a regression sum of squares at 0.62, which is the sum of squared deviations for the predicted Swiss Helvetia price change compared to its average price change.About Swiss Helvetia 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 Swiss Helvetia Closed 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 Swiss Helvetia Closed based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on Swiss Helvetia Closed price pattern first instead of the macroeconomic environment surrounding Swiss Helvetia Closed. By analyzing Swiss Helvetia'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 Swiss Helvetia'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 Swiss Helvetia specific price patterns or momentum indicators. Please read more on our technical analysis page.
Swiss Helvetia January 18, 2025 Technical Indicators
Most technical analysis of Swiss 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 Swiss from various momentum indicators to cycle indicators. When you analyze Swiss 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 | 0.0133 | |||
| Market Risk Adjusted Performance | 0.0321 | |||
| Mean Deviation | 0.7981 | |||
| Semi Deviation | 1.04 | |||
| Downside Deviation | 1.08 | |||
| Coefficient Of Variation | 8125.59 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.44 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 5.0E-4 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0221 | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.39 | |||
| Downside Variance | 1.17 | |||
| Semi Variance | 1.08 | |||
| Expected Short fall | (0.80) | |||
| Skewness | 1.74 | |||
| Kurtosis | 8.11 |
Other Information on Investing in Swiss Fund
Swiss Helvetia financial ratios help investors to determine whether Swiss 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 Swiss with respect to the benefits of owning Swiss Helvetia security.
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