Bmo High Yield Etf Technical Analysis
| ZJK Etf | CAD 19.02 0.06 0.32% |
As of the 23rd of November, BMO High shows the risk adjusted performance of 0.1742, and Mean Deviation of 0.2355. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of BMO High, as well as the relationship between them.
BMO High Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as BMO, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BMOBMO |
BMO High 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.
BMO High Yield 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 BMO High Yield volatility. High ATR values indicate high volatility, and low values indicate low volatility.
BMO High Yield Trend Analysis
Use this graph to draw trend lines for BMO High Yield. You can use it to identify possible trend reversals for BMO High 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 BMO High price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.BMO High Best Fit Change Line
The following chart estimates an ordinary least squares regression model for BMO High Yield applied against its price change over selected period. The best fit line has a slop of 0.02 , which means BMO High Yield will continue generating value for investors. It has 122 observation points and a regression sum of squares at 10.14, which is the sum of squared deviations for the predicted BMO High price change compared to its average price change.About BMO High 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 BMO High Yield 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 BMO High Yield based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on BMO High Yield price pattern first instead of the macroeconomic environment surrounding BMO High Yield. By analyzing BMO High'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 BMO High'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 BMO High specific price patterns or momentum indicators. Please read more on our technical analysis page.
BMO High November 23, 2024 Technical Indicators
Most technical analysis of BMO 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 BMO from various momentum indicators to cycle indicators. When you analyze BMO 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 | 0.1742 | |||
| Market Risk Adjusted Performance | 0.4043 | |||
| Mean Deviation | 0.2355 | |||
| Downside Deviation | 0.2937 | |||
| Coefficient Of Variation | 403.98 | |||
| Standard Deviation | 0.2986 | |||
| Variance | 0.0892 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | 0.0443 | |||
| Total Risk Alpha | 0.0169 | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | 0.3943 | |||
| Maximum Drawdown | 1.33 | |||
| Value At Risk | (0.42) | |||
| Potential Upside | 0.6024 | |||
| Downside Variance | 0.0863 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.27) | |||
| Skewness | 0.1321 | |||
| Kurtosis | 0.1209 |
Other Information on Investing in BMO Etf
BMO High financial ratios help investors to determine whether BMO 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 BMO with respect to the benefits of owning BMO High security.