Canadian Banc Corp Stock Technical Analysis
| BK Stock | CAD 13.92 0.27 1.98% |
As of the 9th of February, Bank of New York shows the Downside Deviation of 1.04, mean deviation of 0.7863, and Risk Adjusted Performance of 0.1376. Canadian Banc Corp 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 New York 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 New York '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 Bank of New York's stock 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 Bank of New York.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Bank of New York on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Canadian Banc Corp or generate 0.0% return on investment in Bank of New York over 90 days. Bank of New York is related to or competes with Life Banc, Financial, North American, Fiera Capital, Brompton Split, Dividend Growth, and Aimia Srs. Canadian Banc Corp. is a close-ended equity mutual fund launched by Quadravest Inc More
Bank of New York 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 Bank of New York's stock 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 Canadian Banc Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.0986 | |||
| Maximum Drawdown | 11.77 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.74 |
Bank of New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of New York's standard deviation. In reality, there are many statistical measures that can use Bank of New York historical prices to predict the future Bank of New York's volatility.| Risk Adjusted Performance | 0.1376 | |||
| Jensen Alpha | 0.1669 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1269 | |||
| Treynor Ratio | 0.3802 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank of New York's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Bank of New York February 9, 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 | 0.1376 | |||
| Market Risk Adjusted Performance | 0.3902 | |||
| Mean Deviation | 0.7863 | |||
| Semi Deviation | 0.7929 | |||
| Downside Deviation | 1.04 | |||
| Coefficient Of Variation | 602.85 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.78 | |||
| Information Ratio | 0.0986 | |||
| Jensen Alpha | 0.1669 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1269 | |||
| Treynor Ratio | 0.3802 | |||
| Maximum Drawdown | 11.77 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.74 | |||
| Downside Variance | 1.07 | |||
| Semi Variance | 0.6287 | |||
| Expected Short fall | (0.96) | |||
| Skewness | 2.3 | |||
| Kurtosis | 15.72 |
Canadian Banc Corp Backtested Returns
Bank of New York appears to be very steady, given 3 months investment horizon. Canadian Banc Corp secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Canadian Banc Corp, which you can use to evaluate the volatility of the firm. Please makes use of Bank of New York's Risk Adjusted Performance of 0.1376, downside deviation of 1.04, and Mean Deviation of 0.7863 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of New York holds a performance score of 12. The firm shows a Beta (market volatility) of 0.56, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of New York is expected to be smaller as well. Please check Bank of New York's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Bank of New York's price patterns will revert.
Auto-correlation | -0.5 |
Modest reverse predictability
Canadian Banc Corp has modest reverse predictability. Overlapping area represents the amount of predictability between Bank of New York time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Canadian Banc Corp price movement. The serial correlation of -0.5 indicates that about 50.0% of current Bank of New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Bank of New York technical 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, stock market cycles, or different charting patterns.
Canadian Banc Corp Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Canadian Banc Corp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Bank of New York 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 Canadian Banc Corp 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 Canadian Banc Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Canadian Banc Corp price pattern first instead of the macroeconomic environment surrounding Canadian Banc Corp. By analyzing Bank of New York'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 New York'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 New York specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2023 | 2026 (projected) | PTB Ratio | 0.96 | 0.81 | 0.76 | Dividend Yield | 0.19 | 0.21 | 0.096 |
Bank of New York February 9, 2026 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 | 0.1376 | |||
| Market Risk Adjusted Performance | 0.3902 | |||
| Mean Deviation | 0.7863 | |||
| Semi Deviation | 0.7929 | |||
| Downside Deviation | 1.04 | |||
| Coefficient Of Variation | 602.85 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.78 | |||
| Information Ratio | 0.0986 | |||
| Jensen Alpha | 0.1669 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1269 | |||
| Treynor Ratio | 0.3802 | |||
| Maximum Drawdown | 11.77 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.74 | |||
| Downside Variance | 1.07 | |||
| Semi Variance | 0.6287 | |||
| Expected Short fall | (0.96) | |||
| Skewness | 2.3 | |||
| Kurtosis | 15.72 |
Bank of New York February 9, 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 Bank 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 | 0.03 | ||
| Daily Balance Of Power | 0.69 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 13.83 | ||
| Day Typical Price | 13.86 | ||
| Price Action Indicator | 0.23 | ||
| Market Facilitation Index | 0.39 |
Other Information on Investing in Bank Stock
Bank of New York financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank of New York security.