Consumer Finance Portfolio Fund Technical Analysis
FSVLX Fund | USD 16.32 0.02 0.12% |
As of the 19th of April, Consumer Finance shows the Downside Deviation of 1.04, risk adjusted performance of 0.0452, and Mean Deviation of 0.7498. Consumer Finance Por 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 were able to break down and interpolate nineteen technical drivers for Consumer Finance Portfolio, which can be compared to its peers. Please confirm Consumer Finance Por coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Consumer Finance Por is priced correctly, providing market reflects its regular price of 16.32 per share.
Consumer Finance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Consumer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ConsumerConsumer |
Consumer Finance 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.
Consumer Finance Por Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Consumer Finance Por volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Consumer Finance Por Trend Analysis
Use this graph to draw trend lines for Consumer Finance Portfolio. You can use it to identify possible trend reversals for Consumer Finance 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 Consumer Finance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Consumer Finance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Consumer Finance Portfolio applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Consumer Finance Portfolio will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.03, which is the sum of squared deviations for the predicted Consumer Finance price change compared to its average price change.About Consumer Finance 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 Consumer Finance Portfolio 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 Consumer Finance Portfolio based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Consumer Finance Por price pattern first instead of the macroeconomic environment surrounding Consumer Finance Por. By analyzing Consumer Finance'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 Consumer Finance'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 Consumer Finance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Consumer Finance April 19, 2024 Technical Indicators
Most technical analysis of Consumer 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 Consumer from various momentum indicators to cycle indicators. When you analyze Consumer 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 | 0.0452 | |||
Market Risk Adjusted Performance | 0.0522 | |||
Mean Deviation | 0.7498 | |||
Semi Deviation | 0.9682 | |||
Downside Deviation | 1.04 | |||
Coefficient Of Variation | 1478.97 | |||
Standard Deviation | 0.9315 | |||
Variance | 0.8676 | |||
Information Ratio | (0.01) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.0422 | |||
Maximum Drawdown | 3.75 | |||
Value At Risk | (1.65) | |||
Potential Upside | 1.48 | |||
Downside Variance | 1.08 | |||
Semi Variance | 0.9375 | |||
Expected Short fall | (0.73) | |||
Skewness | (0.41) | |||
Kurtosis | (0.37) |
Consumer Finance Por One Year Return
Based on the recorded statements, Consumer Finance Portfolio has an One Year Return of 21.3919%. 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 Consumer Finance Portfolio. 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 economic analysis. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.