Medical Equipment And Fund Technical Analysis
| FSMEX Fund | USD 69.18 0.27 0.39% |
As of the 2nd of December, Medical Equipment secures the Downside Deviation of 0.8703, mean deviation of 0.6496, and Risk Adjusted Performance of 0.0677. Medical Equipment And technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the fund's future prices.
Medical Equipment Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Medical, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MedicalMedical |
Medical Equipment 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.
Medical Equipment And Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Medical Equipment And volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Medical Equipment And Trend Analysis
Use this graph to draw trend lines for Medical Equipment And. You can use it to identify possible trend reversals for Medical Equipment 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 Medical Equipment price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Medical Equipment Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Medical Equipment And applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Medical Equipment And will continue generating value for investors. It has 122 observation points and a regression sum of squares at 5.42, which is the sum of squared deviations for the predicted Medical Equipment price change compared to its average price change.About Medical Equipment 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 Medical Equipment And 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 Medical Equipment And based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Medical Equipment And price pattern first instead of the macroeconomic environment surrounding Medical Equipment And. By analyzing Medical Equipment'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 Medical Equipment'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 Medical Equipment specific price patterns or momentum indicators. Please read more on our technical analysis page.
Medical Equipment December 2, 2024 Technical Indicators
Most technical analysis of Medical 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 Medical from various momentum indicators to cycle indicators. When you analyze Medical 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 | 0.0677 | |||
| Market Risk Adjusted Performance | 0.107 | |||
| Mean Deviation | 0.6496 | |||
| Semi Deviation | 0.7616 | |||
| Downside Deviation | 0.8703 | |||
| Coefficient Of Variation | 1138.18 | |||
| Standard Deviation | 0.8036 | |||
| Variance | 0.6457 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.097 | |||
| Maximum Drawdown | 3.89 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 1.28 | |||
| Downside Variance | 0.7574 | |||
| Semi Variance | 0.58 | |||
| Expected Short fall | (0.62) | |||
| Skewness | (0.03) | |||
| Kurtosis | (0.34) |
Medical Equipment And One Year Return
Based on the recorded statements, Medical Equipment And has an One Year Return of 24.5568%. This is much higher than that of the Fidelity Investments family and significantly higher than that of the Health category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in Medical Mutual Fund
Medical Equipment financial ratios help investors to determine whether Medical 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 Medical with respect to the benefits of owning Medical Equipment security.
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