Mackenzie Emerging Markets Etf Technical Analysis
| QEBL Etf | CAD 74.79 0.13 0.17% |
As of the 27th of November, Mackenzie Emerging secures the Mean Deviation of 0.4208, standard deviation of 0.5561, and Risk Adjusted Performance of (0.01). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Mackenzie Emerging, as well as the relationship between them.
Mackenzie Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mackenzie, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MackenzieMackenzie |
Mackenzie Emerging 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.
Mackenzie Emerging 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 Mackenzie Emerging volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Mackenzie Emerging Trend Analysis
Use this graph to draw trend lines for Mackenzie Emerging Markets. You can use it to identify possible trend reversals for Mackenzie Emerging 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 Mackenzie Emerging price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Mackenzie Emerging Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Mackenzie Emerging Markets applied against its price change over selected period. The best fit line has a slop of 0.0002 , which means Mackenzie Emerging Markets will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Mackenzie Emerging price change compared to its average price change.About Mackenzie Emerging 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 Mackenzie Emerging Markets 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 Mackenzie Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Mackenzie Emerging price pattern first instead of the macroeconomic environment surrounding Mackenzie Emerging. By analyzing Mackenzie Emerging'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 Mackenzie Emerging'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 Mackenzie Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Mackenzie Emerging November 27, 2024 Technical Indicators
Most technical analysis of Mackenzie 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 Mackenzie from various momentum indicators to cycle indicators. When you analyze Mackenzie 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 | (0.01) | |||
| Market Risk Adjusted Performance | (1.16) | |||
| Mean Deviation | 0.4208 | |||
| Coefficient Of Variation | (6,805) | |||
| Standard Deviation | 0.5561 | |||
| Variance | 0.3092 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (1.17) | |||
| Maximum Drawdown | 3.1 | |||
| Value At Risk | (0.83) | |||
| Potential Upside | 0.9898 | |||
| Skewness | 0.324 | |||
| Kurtosis | 1.07 |
Other Information on Investing in Mackenzie Etf
Mackenzie Emerging financial ratios help investors to determine whether Mackenzie 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 Mackenzie with respect to the benefits of owning Mackenzie Emerging security.