Energy Income Etf Technical Analysis
| ENI-UN Etf | CAD 1.71 0.04 2.29% |
As of the 24th of November, Energy Income shows the Coefficient Of Variation of 1944.82, downside deviation of 3.67, and Mean Deviation of 1.07. Energy Income technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Energy Income 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 Income technical etf 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, etf market cycles, or different charting patterns.
Energy Income Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Energy Income Trend Analysis
Use this graph to draw trend lines for Energy Income. You can use it to identify possible trend reversals for Energy Income 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 Income price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Energy Income Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Energy Income applied against its price change over selected period. The best fit line has a slop of 0 , which means Energy Income will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.44, which is the sum of squared deviations for the predicted Energy Income price change compared to its average price change.About Energy Income 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 Income 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 Income based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Energy Income price pattern first instead of the macroeconomic environment surrounding Energy Income. By analyzing Energy Income'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 Income'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 Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Energy Income November 24, 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 | 0.0455 | |||
| Market Risk Adjusted Performance | (0.52) | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.74 | |||
| Downside Deviation | 3.67 | |||
| Coefficient Of Variation | 1944.82 | |||
| Standard Deviation | 1.97 | |||
| Variance | 3.87 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.1119 | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.53) | |||
| Maximum Drawdown | 16.23 | |||
| Value At Risk | (3.03) | |||
| Potential Upside | 2.61 | |||
| Downside Variance | 13.46 | |||
| Semi Variance | 3.03 | |||
| Expected Short fall | (1.70) | |||
| Skewness | (0.58) | |||
| Kurtosis | 8.03 |
Other Information on Investing in Energy Etf
Energy Income financial ratios help investors to determine whether Energy Etf 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 Income security.