Banking Portfolio Banking Fund Technical Analysis
| FSRBX Fund | USD 26.33 0.21 0.80% |
As of the 6th of May, Banking Portfolio shows the Mean Deviation of 0.9949, risk adjusted performance of 0.0571, and Downside Deviation of 1.43. Banking Portfolio Banking 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. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have analyzed nineteen technical drivers for Banking Portfolio Banking, which can be compared to its peers. Please confirm Banking Portfolio Banking coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Banking Portfolio Banking is priced correctly, providing market reflects its regular price of 26.33 per share.
Banking 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 Banking, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BankingBanking |
Banking 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.
Banking Portfolio Banking 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 Banking Portfolio Banking volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Banking Portfolio Banking Trend Analysis
Use this graph to draw trend lines for Banking Portfolio Banking. You can use it to identify possible trend reversals for Banking 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 Banking Portfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Banking Portfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Banking Portfolio Banking applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Banking Portfolio Banking will continue generating value for investors. It has 122 observation points and a regression sum of squares at 32.58, which is the sum of squared deviations for the predicted Banking Portfolio price change compared to its average price change.About Banking 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 Banking Portfolio Banking 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 Banking Portfolio Banking based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Banking Portfolio Banking price pattern first instead of the macroeconomic environment surrounding Banking Portfolio Banking. By analyzing Banking 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 Banking 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 Banking Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Banking Portfolio May 6, 2024 Technical Indicators
Most technical analysis of Banking 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 Banking from various momentum indicators to cycle indicators. When you analyze Banking 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 | 0.0571 | |||
| Market Risk Adjusted Performance | 0.0881 | |||
| Mean Deviation | 0.9949 | |||
| Semi Deviation | 1.22 | |||
| Downside Deviation | 1.43 | |||
| Coefficient Of Variation | 1218.29 | |||
| Standard Deviation | 1.35 | |||
| Variance | 1.82 | |||
| Information Ratio | 0.0232 | |||
| Jensen Alpha | 0.0112 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0219 | |||
| Treynor Ratio | 0.0781 | |||
| Maximum Drawdown | 6.5 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 2.57 | |||
| Downside Variance | 2.04 | |||
| Semi Variance | 1.5 | |||
| Expected Short fall | (1.04) | |||
| Skewness | (0.10) | |||
| Kurtosis | 0.4956 |
Banking Portfolio Banking One Year Return
Based on the recorded statements, Banking Portfolio Banking has an One Year Return of 37.7071%. This is much higher than that of the Fidelity Investments family and significantly higher than that of the Financial 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.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Banking Portfolio Banking. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. Note that the Banking Portfolio Banking information on this page should be used as a complementary analysis to other Banking Portfolio's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.