Biotechnology Portfolio Biotechnology Fund Technical Analysis
| FBIOX Fund | USD 20.42 0.21 1.02% |
As of the 26th of November, Biotechnology Portfolio shows the Risk Adjusted Performance of (0.02), standard deviation of 1.26, and Mean Deviation of 0.9012. Biotechnology Portfolio technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Biotechnology Portfolio Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Biotechnology, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BiotechnologyBiotechnology |
Biotechnology Portfolio 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.
Biotechnology Portfolio 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 Biotechnology Portfolio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Biotechnology Portfolio Trend Analysis
Use this graph to draw trend lines for Biotechnology Portfolio Biotechnology. You can use it to identify possible trend reversals for Biotechnology Portfolio 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 Biotechnology Portfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Biotechnology Portfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Biotechnology Portfolio Biotechnology applied against its price change over selected period. The best fit line has a slop of 0.007 , which may suggest that Biotechnology Portfolio Biotechnology market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.84, which is the sum of squared deviations for the predicted Biotechnology Portfolio price change compared to its average price change.About Biotechnology Portfolio 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 Biotechnology Portfolio Biotechnology 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 Biotechnology Portfolio Biotechnology based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Biotechnology Portfolio price pattern first instead of the macroeconomic environment surrounding Biotechnology Portfolio. By analyzing Biotechnology Portfolio'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 Biotechnology Portfolio'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 Biotechnology Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Biotechnology Portfolio November 26, 2024 Technical Indicators
Most technical analysis of Biotechnology 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 Biotechnology from various momentum indicators to cycle indicators. When you analyze Biotechnology 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 0.9012 | |||
| Coefficient Of Variation | (3,082) | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.59 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 7.2 | |||
| Value At Risk | (2.07) | |||
| Potential Upside | 2.09 | |||
| Skewness | (1.05) | |||
| Kurtosis | 2.94 |
Biotechnology Portfolio One Year Return
Based on the recorded statements, Biotechnology Portfolio Biotechnology has an One Year Return of 37.3919%. 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 Biotechnology Mutual Fund
Biotechnology Portfolio financial ratios help investors to determine whether Biotechnology 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 Biotechnology with respect to the benefits of owning Biotechnology Portfolio security.
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