Financial 15 Split Preferred Stock Technical Analysis
| FTN-PA Preferred Stock | CAD 10.66 0.02 0.19% |
As of the 16th of February 2026, Financial shows the Mean Deviation of 0.2421, downside deviation of 0.3794, and Coefficient Of Variation of 1177.27. Financial 15 Split technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Financial, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FinancialFinancial |
Financial '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 Financial's preferred 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 Financial.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Financial on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Financial 15 Split or generate 0.0% return on investment in Financial over 90 days. Financial is related to or competes with Bank of New York, HealWELL, US Financial, Infrastructure Dividend, Brookfield Off, and Brookfield Office. More
Financial 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 Financial's preferred 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 Financial 15 Split upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3794 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 2.19 | |||
| Value At Risk | (0.38) | |||
| Potential Upside | 0.5747 |
Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial's standard deviation. In reality, there are many statistical measures that can use Financial historical prices to predict the future Financial's volatility.| Risk Adjusted Performance | 0.0551 | |||
| Jensen Alpha | 0.0178 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.7564 |
Financial February 16, 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 | 0.0551 | |||
| Market Risk Adjusted Performance | 0.7664 | |||
| Mean Deviation | 0.2421 | |||
| Semi Deviation | 0.2495 | |||
| Downside Deviation | 0.3794 | |||
| Coefficient Of Variation | 1177.27 | |||
| Standard Deviation | 0.3448 | |||
| Variance | 0.1189 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | 0.0178 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.7564 | |||
| Maximum Drawdown | 2.19 | |||
| Value At Risk | (0.38) | |||
| Potential Upside | 0.5747 | |||
| Downside Variance | 0.144 | |||
| Semi Variance | 0.0622 | |||
| Expected Short fall | (0.34) | |||
| Skewness | (0.58) | |||
| Kurtosis | 3.32 |
Financial 15 Split Backtested Returns
At this point, Financial is very steady. Financial 15 Split secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the company had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Financial 15 Split, which you can use to evaluate the volatility of the firm. Please confirm Financial's Mean Deviation of 0.2421, coefficient of variation of 1177.27, and Downside Deviation of 0.3794 to check if the risk estimate we provide is consistent with the expected return of 0.0341%. Financial has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0255, which means not very significant fluctuations relative to the market. As returns on the market increase, Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Financial is expected to be smaller as well. Financial 15 Split right now shows a risk of 0.32%. Please confirm Financial 15 Split total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to decide if Financial 15 Split will be following its price patterns.
Auto-correlation | -0.21 |
Weak reverse predictability
Financial 15 Split has weak reverse predictability. Overlapping area represents the amount of predictability between Financial time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Financial 15 Split price movement. The serial correlation of -0.21 indicates that over 21.0% of current Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Financial 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.
Financial 15 Split 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 Financial 15 Split volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Financial 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 Financial 15 Split 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 Financial 15 Split based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Financial 15 Split price pattern first instead of the macroeconomic environment surrounding Financial 15 Split. By analyzing Financial'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 Financial'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 Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Financial February 16, 2026 Technical Indicators
Most technical analysis of Financial 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 Financial from various momentum indicators to cycle indicators. When you analyze Financial 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 | 0.0551 | |||
| Market Risk Adjusted Performance | 0.7664 | |||
| Mean Deviation | 0.2421 | |||
| Semi Deviation | 0.2495 | |||
| Downside Deviation | 0.3794 | |||
| Coefficient Of Variation | 1177.27 | |||
| Standard Deviation | 0.3448 | |||
| Variance | 0.1189 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | 0.0178 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.7564 | |||
| Maximum Drawdown | 2.19 | |||
| Value At Risk | (0.38) | |||
| Potential Upside | 0.5747 | |||
| Downside Variance | 0.144 | |||
| Semi Variance | 0.0622 | |||
| Expected Short fall | (0.34) | |||
| Skewness | (0.58) | |||
| Kurtosis | 3.32 |
Financial February 16, 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 Financial 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 | 0.01 | ||
| Daily Balance Of Power | (0.25) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 10.66 | ||
| Day Typical Price | 10.66 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.08 |
Complementary Tools for Financial Preferred Stock analysis
When running Financial's price analysis, check to measure Financial'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 Financial is operating at the current time. Most of Financial's value examination focuses on studying past and present price action to predict the probability of Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Financial's price. Additionally, you may evaluate how the addition of Financial to your portfolios can decrease your overall portfolio volatility.
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