Simt Multi Asset Capital Fund Technical Analysis
| SCLAX Fund | USD 10.57 0.01 0.09% |
As of the 17th of December 2024, Simt Multi has the Risk Adjusted Performance of (0.03), semi deviation of 0.1103, and Coefficient Of Variation of 4565.1. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simt Multi Asset, as well as the relationship between them.
Simt Multi Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Simt, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimtSimt |
Simt Multi technical mutual 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.
Simt Multi Asset 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 Simt Multi Asset volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Simt Multi Asset Trend Analysis
Use this graph to draw trend lines for Simt Multi Asset Capital. You can use it to identify possible trend reversals for Simt Multi 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 Simt Multi price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Simt Multi Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Simt Multi Asset Capital applied against its price change over selected period. The best fit line has a slop of 0.0001 , which may suggest that Simt Multi Asset Capital market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Simt Multi price change compared to its average price change.About Simt Multi 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 Simt Multi Asset Capital 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 Simt Multi Asset Capital based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Simt Multi Asset price pattern first instead of the macroeconomic environment surrounding Simt Multi Asset. By analyzing Simt Multi'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 Simt Multi'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 Simt Multi specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simt Multi December 17, 2024 Technical Indicators
Most technical analysis of Simt 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 Simt from various momentum indicators to cycle indicators. When you analyze Simt 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 0.1069 | |||
| Semi Deviation | 0.1103 | |||
| Downside Deviation | 0.1641 | |||
| Coefficient Of Variation | 4565.1 | |||
| Standard Deviation | 0.1351 | |||
| Variance | 0.0183 | |||
| Information Ratio | (0.61) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.50) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 0.5701 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.1898 | |||
| Downside Variance | 0.0269 | |||
| Semi Variance | 0.0122 | |||
| Expected Short fall | (0.14) | |||
| Skewness | (0.09) | |||
| Kurtosis | (0.58) |
Other Information on Investing in Simt Mutual Fund
Simt Multi financial ratios help investors to determine whether Simt Mutual 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 Simt with respect to the benefits of owning Simt Multi security.
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