Automotive Portfolio Automotive Fund Technical Analysis
FSAVX Fund | USD 53.11 1.02 1.88% |
As of the 31st of March, Automotive Portfolio shows the Risk Adjusted Performance of (0.05), mean deviation of 1.03, and Standard Deviation of 1.28. Automotive 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.
Automotive 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 Automotive, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AutomotiveAutomotive |
Automotive 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.
Automotive Portfolio Technical Analysis
The output start index for this execution was seven with a total number of output elements of fifty-four. 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 Automotive Portfolio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Automotive Portfolio Trend Analysis
Use this graph to draw trend lines for Automotive Portfolio Automotive. You can use it to identify possible trend reversals for Automotive 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 Automotive Portfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Automotive Portfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Automotive Portfolio Automotive applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Automotive Portfolio Automotive market price will keep on failing further. It has 122 observation points and a regression sum of squares at 74.72, which is the sum of squared deviations for the predicted Automotive Portfolio price change compared to its average price change.About Automotive 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 Automotive Portfolio Automotive 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 Automotive Portfolio Automotive based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Automotive Portfolio price pattern first instead of the macroeconomic environment surrounding Automotive Portfolio. By analyzing Automotive 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 Automotive 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 Automotive Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Automotive Portfolio March 31, 2025 Technical Indicators
Most technical analysis of Automotive 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 Automotive from various momentum indicators to cycle indicators. When you analyze Automotive 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 | (0.05) | |||
Market Risk Adjusted Performance | 0.5012 | |||
Mean Deviation | 1.03 | |||
Coefficient Of Variation | (1,674) | |||
Standard Deviation | 1.28 | |||
Variance | 1.64 | |||
Information Ratio | (0.03) | |||
Jensen Alpha | (0.1) | |||
Total Risk Alpha | (0.01) | |||
Treynor Ratio | 0.4912 | |||
Maximum Drawdown | 5.23 | |||
Value At Risk | (2.11) | |||
Potential Upside | 1.89 | |||
Skewness | 0.2034 | |||
Kurtosis | (0.43) |
Automotive Portfolio One Year Return
Based on the recorded statements, Automotive Portfolio Automotive has an One Year Return of -5.1942%. This is 240.01% lower than that of the Fidelity Investments family and significantly lower than that of the Consumer Cyclical category. The one year return for all United States funds is notably higher than that of the company.
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.Automotive Portfolio March 31, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Automotive stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.00 | ||
Daily Balance Of Power | (Huge) | ||
Rate Of Daily Change | 0.98 | ||
Day Median Price | 53.11 | ||
Day Typical Price | 53.11 | ||
Price Action Indicator | (0.51) |
Other Information on Investing in Automotive Mutual Fund
Automotive Portfolio financial ratios help investors to determine whether Automotive 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 Automotive with respect to the benefits of owning Automotive Portfolio security.
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