Bank Of Montreal Preferred Stock Technical Analysis
BMO-PE Preferred Stock | CAD 26.25 0.02 0.08% |
As of the 2nd of December, Bank of Montreal shows the Risk Adjusted Performance of 0.0582, mean deviation of 0.257, and Downside Deviation of 0.3902. Bank of Montreal technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
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 preferred stock 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, preferred stock market cycles, or different charting patterns.
Bank of Montreal Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Bank of Montreal volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 0.02 , which means Bank of Montreal will continue generating value for investors. It has 122 observation points and a regression sum of squares at 9.61, 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 company, 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 December 2, 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 | 0.0582 | |||
Market Risk Adjusted Performance | 0.3135 | |||
Mean Deviation | 0.257 | |||
Semi Deviation | 0.2692 | |||
Downside Deviation | 0.3902 | |||
Coefficient Of Variation | 1118.29 | |||
Standard Deviation | 0.38 | |||
Variance | 0.1444 | |||
Information Ratio | (0.27) | |||
Jensen Alpha | 0.0139 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.27) | |||
Treynor Ratio | 0.3035 | |||
Maximum Drawdown | 2.22 | |||
Value At Risk | (0.47) | |||
Potential Upside | 0.7356 | |||
Downside Variance | 0.1522 | |||
Semi Variance | 0.0725 | |||
Expected Short fall | (0.31) | |||
Skewness | 0.397 | |||
Kurtosis | 3.05 |
Complementary Tools for Bank Preferred Stock analysis
When running Bank of Montreal's price analysis, check to measure Bank of Montreal's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of Montreal is operating at the current time. Most of Bank of Montreal's value examination focuses on studying past and present price action to predict the probability of Bank of Montreal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Montreal's price. Additionally, you may evaluate how the addition of Bank of Montreal to your portfolios can decrease your overall portfolio volatility.
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |