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 BMO
BMO Short's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
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.
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10/29/2025
No Change 0.00
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In 2 months and 31 days
01/27/2026
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If you would invest 0.00 in BMO Short on October 29, 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 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.
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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BMO Short. Your research has to be compared to or analyzed against BMO Short's peers to derive any actionable benefits. When done correctly, BMO Short's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in BMO Short Federal.
BMO Short Federal secures Sharpe Ratio (or Efficiency) of -0.0283, which signifies that the etf had a -0.0283 % return per unit of risk over the last 3 months. BMO Short Federal exposes twenty-three 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 0.0894 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.0071, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BMO Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Short is expected to be smaller as well.
Auto-correlation
-0.41
Modest reverse predictability
BMO Short Federal has modest reverse predictability. Overlapping area represents the amount of predictability between BMO Short time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 -0.41 indicates that just about 41.0% of current BMO Short price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.41
Spearman Rank Test
-0.25
Residual Average
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Price Variance
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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.
A focus of BMO Short technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of BMO Short trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...
BMO Short Federal Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of twenty-three. 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.
BMO Short January 27, 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.
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.