Federated Mdt All Fund Technical Analysis
| QKACX Fund | USD 50.16 0.29 0.57% |
As of the 29th of November, Federated Mdt shows the Mean Deviation of 0.572, downside deviation of 0.8707, and Coefficient Of Variation of 504.28. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Federated Mdt, as well as the relationship between them.
Federated Mdt Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Federated, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FederatedFederated |
Federated Mdt 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.
Federated Mdt All 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 Federated Mdt All volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Federated Mdt All Trend Analysis
Use this graph to draw trend lines for Federated Mdt All. You can use it to identify possible trend reversals for Federated Mdt 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 Federated Mdt price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Federated Mdt Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Federated Mdt All applied against its price change over selected period. The best fit line has a slop of 0.09 , which means Federated Mdt All will continue generating value for investors. It has 122 observation points and a regression sum of squares at 331.52, which is the sum of squared deviations for the predicted Federated Mdt price change compared to its average price change.About Federated Mdt 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 Federated Mdt All 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 Federated Mdt All based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Federated Mdt All price pattern first instead of the macroeconomic environment surrounding Federated Mdt All. By analyzing Federated Mdt'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 Federated Mdt'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 Federated Mdt specific price patterns or momentum indicators. Please read more on our technical analysis page.
Federated Mdt November 29, 2024 Technical Indicators
Most technical analysis of Federated 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 Federated from various momentum indicators to cycle indicators. When you analyze Federated 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1524 | |||
| Market Risk Adjusted Performance | 0.1788 | |||
| Mean Deviation | 0.572 | |||
| Semi Deviation | 0.6131 | |||
| Downside Deviation | 0.8707 | |||
| Coefficient Of Variation | 504.28 | |||
| Standard Deviation | 0.7985 | |||
| Variance | 0.6375 | |||
| Information Ratio | 0.0413 | |||
| Jensen Alpha | 0.0469 | |||
| Total Risk Alpha | 0.0281 | |||
| Sortino Ratio | 0.0379 | |||
| Treynor Ratio | 0.1688 | |||
| Maximum Drawdown | 3.98 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.22 | |||
| Downside Variance | 0.7582 | |||
| Semi Variance | 0.3759 | |||
| Expected Short fall | (0.60) | |||
| Skewness | (0.15) | |||
| Kurtosis | 2.13 |
Federated Mdt All One Year Return
Based on the recorded statements, Federated Mdt All has an One Year Return of 44.5553%. This is 226.41% higher than that of the Federated family and significantly higher than that of the Large Blend 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 Federated Mutual Fund
Federated Mdt financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Mdt security.
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