Fidelity Momentum Etf Technical Analysis
| FCMO Etf | 17.82 0.24 1.37% |
As of the 8th of December, Fidelity Momentum shows the Coefficient Of Variation of 243.96, mean deviation of 0.607, and Standard Deviation of 0.8464. Our technical analysis interface provides you with a way to check existing technical drivers of Fidelity Momentum ETF, as well as the relationship between them. Please confirm Fidelity Momentum ETF coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Fidelity Momentum ETF is priced favorably, providing market reflects its regular price of 17.82 per share.
Fidelity Momentum Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity |
Fidelity Momentum technical etf 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, etf market cycles, or different charting patterns.
Fidelity Momentum ETF Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Fidelity Momentum ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fidelity Momentum ETF Trend Analysis
Use this graph to draw trend lines for Fidelity Momentum ETF. You can use it to identify possible trend reversals for Fidelity Momentum 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 Fidelity Momentum price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fidelity Momentum Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fidelity Momentum ETF applied against its price change over selected period. The best fit line has a slop of 0.05 , which means Fidelity Momentum ETF will continue generating value for investors. It has 122 observation points and a regression sum of squares at 86.59, which is the sum of squared deviations for the predicted Fidelity Momentum price change compared to its average price change.About Fidelity Momentum 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 Fidelity Momentum ETF 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 Fidelity Momentum ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity Momentum ETF price pattern first instead of the macroeconomic environment surrounding Fidelity Momentum ETF. By analyzing Fidelity Momentum'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 Fidelity Momentum'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 Fidelity Momentum specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Momentum December 8, 2024 Technical Indicators
Most technical analysis of Fidelity 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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 | 0.3049 | |||
| Market Risk Adjusted Performance | 4.26 | |||
| Mean Deviation | 0.607 | |||
| Downside Deviation | 0.6304 | |||
| Coefficient Of Variation | 243.96 | |||
| Standard Deviation | 0.8464 | |||
| Variance | 0.7164 | |||
| Information Ratio | 0.2436 | |||
| Jensen Alpha | 0.3266 | |||
| Total Risk Alpha | 0.1875 | |||
| Sortino Ratio | 0.327 | |||
| Treynor Ratio | 4.25 | |||
| Maximum Drawdown | 4.66 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 1.65 | |||
| Downside Variance | 0.3974 | |||
| Semi Variance | (0.17) | |||
| Expected Short fall | (0.76) | |||
| Skewness | 1.35 | |||
| Kurtosis | 3.63 |
Other Information on Investing in Fidelity Etf
Fidelity Momentum financial ratios help investors to determine whether Fidelity Etf 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 Fidelity with respect to the benefits of owning Fidelity Momentum security.