Bmo Short Federal Etf Technical Analysis
| ZFS Etf | CAD 13.93 0.01 0.07% |
As of the 1st of February, BMO Short shows the risk adjusted performance of (0.06), and Mean Deviation of 0.0785. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of BMO Short, as well as the relationship between them.
BMO Short 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 Short '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 Short'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 Short.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in BMO Short on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding BMO Short Federal or generate 0.0% return on investment in BMO Short over 90 days. BMO Short is related to or competes with BMO Canadian, BMO Equal, IShares SP, Exemplar Growth, and IShares SPTSX. BMO Short Federal Bond Index ETF seeks to replicate, to the extent possible, the performance of a short term federal bon... More
BMO Short 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 Short'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 Short Federal upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.39) | |||
| Maximum Drawdown | 0.7174 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.144 |
BMO Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Short's standard deviation. In reality, there are many statistical measures that can use BMO Short historical prices to predict the future BMO Short's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.7977 |
BMO Short February 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.8077 | |||
| Mean Deviation | 0.0785 | |||
| Coefficient Of Variation | (5,548) | |||
| Standard Deviation | 0.1223 | |||
| Variance | 0.015 | |||
| Information Ratio | (0.39) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.7977 | |||
| Maximum Drawdown | 0.7174 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.144 | |||
| Skewness | (1.66) | |||
| Kurtosis | 5.51 |
BMO Short Federal Backtested Returns
BMO Short Federal secures Sharpe Ratio (or Efficiency) of -0.018, which signifies that the etf had a -0.018 % return per unit of risk over the last 3 months. BMO Short Federal exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BMO Short's risk adjusted performance of (0.06), and Mean Deviation of 0.0785 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.0153, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BMO Short are expected to decrease at a much lower rate. During the bear market, BMO Short is likely to outperform the market.
Auto-correlation | -0.35 |
Poor reverse predictability
BMO Short Federal has poor reverse predictability. Overlapping area represents the amount of predictability between BMO Short time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 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 Short Federal price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current BMO Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BMO Short 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 Short Federal Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Short Federal volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About BMO Short 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 Short Federal 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 Short Federal based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on BMO Short Federal price pattern first instead of the macroeconomic environment surrounding BMO Short Federal. By analyzing BMO Short'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 Short'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 Short specific price patterns or momentum indicators. Please read more on our technical analysis page.
BMO Short February 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.8077 | |||
| Mean Deviation | 0.0785 | |||
| Coefficient Of Variation | (5,548) | |||
| Standard Deviation | 0.1223 | |||
| Variance | 0.015 | |||
| Information Ratio | (0.39) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.7977 | |||
| Maximum Drawdown | 0.7174 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.144 | |||
| Skewness | (1.66) | |||
| Kurtosis | 5.51 |
BMO Short February 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 | (1.00) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 13.93 | ||
| Day Typical Price | 13.93 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.01 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in BMO Short Federal. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.