Bmo Monthly Income Etf Technical Analysis
| ZMI Etf | CAD 19.36 0.01 0.05% |
As of the 1st of March, BMO Monthly shows the risk adjusted performance of 0.0639, and Mean Deviation of 0.3271. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of BMO Monthly, as well as the relationship between them.
BMO Monthly 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 Monthly 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to BMO Monthly's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of BMO Monthly.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in BMO Monthly on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding BMO Monthly Income or generate 0.0% return on investment in BMO Monthly over 90 days. BMO Monthly is related to or competes with IShares ESG, IShares ESG, Brompton Flaherty, IShares MSCI, Global X, First Trust, and Invesco RAFI. BMO Monthly Income ETF seeks to provide monthly cash distributions, with the potential for modest long-term capital appr... More
BMO Monthly Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure BMO Monthly's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess BMO Monthly Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7829 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.6926 |
BMO Monthly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Monthly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Monthly's standard deviation. In reality, there are many statistical measures that can use BMO Monthly historical prices to predict the future BMO Monthly's volatility.| Risk Adjusted Performance | 0.0639 | |||
| Jensen Alpha | 0.009 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1043 |
BMO Monthly March 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0639 | |||
| Market Risk Adjusted Performance | 0.1143 | |||
| Mean Deviation | 0.3271 | |||
| Semi Deviation | 0.6531 | |||
| Downside Deviation | 0.7829 | |||
| Coefficient Of Variation | 1125.76 | |||
| Standard Deviation | 0.5446 | |||
| Variance | 0.2966 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | 0.009 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1043 | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.6926 | |||
| Downside Variance | 0.6129 | |||
| Semi Variance | 0.4265 | |||
| Expected Short fall | (0.33) | |||
| Skewness | (2.60) | |||
| Kurtosis | 12.76 |
BMO Monthly Income Backtested Returns
As of now, BMO Etf is very steady. BMO Monthly Income secures Sharpe Ratio (or Efficiency) of 0.0804, which signifies that the etf had a 0.0804 % return per unit of risk over the last 3 months. We have found thirty technical indicators for BMO Monthly Income, which you can use to evaluate the volatility of the entity. Please confirm BMO Monthly's mean deviation of 0.3271, and Risk Adjusted Performance of 0.0639 to double-check if the risk estimate we provide is consistent with the expected return of 0.0391%. The etf shows a Beta (market volatility) of 0.37, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, BMO Monthly's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Monthly is expected to be smaller as well.
Auto-correlation | -0.55 |
Good reverse predictability
BMO Monthly Income has good reverse predictability. Overlapping area represents the amount of predictability between BMO Monthly time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of BMO Monthly Income price movement. The serial correlation of -0.55 indicates that about 55.0% of current BMO Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
BMO Monthly 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 Monthly Income Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for BMO Monthly Income across different markets.
About BMO Monthly 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 Monthly 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 BMO Monthly Income based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on BMO Monthly Income price pattern first instead of the macroeconomic environment surrounding BMO Monthly Income. By analyzing BMO Monthly'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 Monthly'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 Monthly specific price patterns or momentum indicators. Please read more on our technical analysis page.
BMO Monthly March 1, 2026 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 | 0.0639 | |||
| Market Risk Adjusted Performance | 0.1143 | |||
| Mean Deviation | 0.3271 | |||
| Semi Deviation | 0.6531 | |||
| Downside Deviation | 0.7829 | |||
| Coefficient Of Variation | 1125.76 | |||
| Standard Deviation | 0.5446 | |||
| Variance | 0.2966 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | 0.009 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1043 | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.6926 | |||
| Downside Variance | 0.6129 | |||
| Semi Variance | 0.4265 | |||
| Expected Short fall | (0.33) | |||
| Skewness | (2.60) | |||
| Kurtosis | 12.76 |
BMO Monthly March 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as BMO stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.14 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 19.33 | ||
| Day Typical Price | 19.34 | ||
| Price Action Indicator | 0.04 | ||
| Market Facilitation Index | 0.07 |
Other Information on Investing in BMO Etf
BMO Monthly 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 Monthly security.