Research Portfolio Institutional Fund Technical Analysis
| JAGRX Fund | USD 53.67 0.17 0.32% |
As of the 5th of June, Research Portfolio holds the Risk Adjusted Performance of 0.0586, coefficient of variation of 1133.53, and Semi Deviation of 0.8233. Research Portfolio technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the fund's future prices.
Research 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 Research, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ResearchResearch |
Research 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.
Research Portfolio 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 Research Portfolio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Research Portfolio Trend Analysis
Use this graph to draw trend lines for Research Portfolio Institutional. You can use it to identify possible trend reversals for Research 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 Research Portfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Research Portfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Research Portfolio Institutional applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Research Portfolio Institutional will continue generating value for investors. It has 122 observation points and a regression sum of squares at 26.37, which is the sum of squared deviations for the predicted Research Portfolio price change compared to its average price change.About Research 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 Research Portfolio Institutional 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 Research Portfolio Institutional based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Research Portfolio price pattern first instead of the macroeconomic environment surrounding Research Portfolio. By analyzing Research 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 Research 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 Research Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Research Portfolio June 5, 2024 Technical Indicators
Most technical analysis of Research 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 Research from various momentum indicators to cycle indicators. When you analyze Research 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 | 0.0586 | |||
| Market Risk Adjusted Performance | (0.92) | |||
| Mean Deviation | 0.7446 | |||
| Semi Deviation | 0.8233 | |||
| Downside Deviation | 0.9171 | |||
| Coefficient Of Variation | 1133.53 | |||
| Standard Deviation | 0.9578 | |||
| Variance | 0.9175 | |||
| Information Ratio | 0.0679 | |||
| Jensen Alpha | 0.0753 | |||
| Total Risk Alpha | 0.06 | |||
| Sortino Ratio | 0.0709 | |||
| Treynor Ratio | (0.93) | |||
| Maximum Drawdown | 4.19 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.68 | |||
| Downside Variance | 0.8411 | |||
| Semi Variance | 0.6778 | |||
| Expected Short fall | (0.83) | |||
| Skewness | 0.0132 | |||
| Kurtosis | (0.37) |
Research Portfolio June 5, 2024 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 Research 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 | 1.00 | ||
| Day Median Price | 53.67 | ||
| Day Typical Price | 53.67 | ||
| Price Action Indicator | 0.09 |
Other Information on Investing in Research Mutual Fund
Research Portfolio financial ratios help investors to determine whether Research 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 Research with respect to the benefits of owning Research Portfolio security.
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