Bank Of Montreal Etf Technical Analysis
NRGU Etf | USD 502.48 0.00 0.00% |
As of the 25th of November, Bank Of Montreal shows the Mean Deviation of 2.16, standard deviation of 3.21, and Risk Adjusted Performance of (0.07). In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Bank Of Montreal, as well as the relationship between them.
Bank Of Montreal Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bank, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BankBank |
Bank Of Montreal 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.
Bank Of Montreal Technical Analysis
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Bank Of Montreal Trend Analysis
Use this graph to draw trend lines for Bank Of Montreal. You can use it to identify possible trend reversals for Bank Of Montreal 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 Bank Of Montreal price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bank Of Montreal Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Bank Of Montreal applied against its price change over selected period. The best fit line has a slop of 1.27 , which may suggest that Bank Of Montreal market price will keep on failing further. It has 122 observation points and a regression sum of squares at 61329.46, which is the sum of squared deviations for the predicted Bank Of Montreal price change compared to its average price change.About Bank Of Montreal 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 Bank Of Montreal 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 Bank Of Montreal based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Bank Of Montreal price pattern first instead of the macroeconomic environment surrounding Bank Of Montreal. By analyzing Bank Of Montreal'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 Bank Of Montreal'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 Bank Of Montreal specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bank Of Montreal November 25, 2024 Technical Indicators
Most technical analysis of Bank 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 Bank from various momentum indicators to cycle indicators. When you analyze Bank 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 | (0.07) | |||
Market Risk Adjusted Performance | 0.5337 | |||
Mean Deviation | 2.16 | |||
Coefficient Of Variation | (958.66) | |||
Standard Deviation | 3.21 | |||
Variance | 10.29 | |||
Information Ratio | (0.15) | |||
Jensen Alpha | (0.27) | |||
Total Risk Alpha | (0.85) | |||
Treynor Ratio | 0.5237 | |||
Maximum Drawdown | 16.23 | |||
Value At Risk | (5.68) | |||
Potential Upside | 5.43 | |||
Skewness | (0.48) | |||
Kurtosis | 2.53 |
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
The market value of Bank Of Montreal is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank Of Montreal's value that differs from its market value or its book value, called intrinsic value, which is Bank Of Montreal's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank Of Montreal's market value can be influenced by many factors that don't directly affect Bank Of Montreal's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank Of Montreal's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank Of Montreal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank Of Montreal's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.