Energy Services Fund Technical Analysis
| RYVAX Fund | USD 197.50 0.67 0.34% |
As of the 28th of December, Energy Services shows the Mean Deviation of 1.33, standard deviation of 1.9, and Variance of 3.61. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Energy Services, as well as the relationship between them.
Energy Services Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Energy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EnergyEnergy |
Energy Services 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.
Energy Services 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 Energy Services volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Energy Services Trend Analysis
Use this graph to draw trend lines for Energy Services Fund. You can use it to identify possible trend reversals for Energy Services 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 Energy Services price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Energy Services Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Energy Services Fund applied against its price change over selected period. The best fit line has a slop of 0.1 , which may suggest that Energy Services Fund market price will keep on failing further. It has 122 observation points and a regression sum of squares at 385.49, which is the sum of squared deviations for the predicted Energy Services price change compared to its average price change.About Energy Services 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 Energy Services Fund 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 Energy Services Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Energy Services price pattern first instead of the macroeconomic environment surrounding Energy Services. By analyzing Energy Services'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 Energy Services'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 Energy Services specific price patterns or momentum indicators. Please read more on our technical analysis page.
Energy Services December 28, 2024 Technical Indicators
Most technical analysis of Energy 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 | (0.16) | |||
| Mean Deviation | 1.33 | |||
| Coefficient Of Variation | (3,278) | |||
| Standard Deviation | 1.9 | |||
| Variance | 3.61 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 13.02 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 2.34 | |||
| Skewness | 1.38 | |||
| Kurtosis | 7.09 |
Other Information on Investing in Energy Mutual Fund
Energy Services financial ratios help investors to determine whether Energy 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 Energy with respect to the benefits of owning Energy Services security.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |