Financial 15 Split Stock Technical Analysis
| FNNCF Stock | USD 8.05 0.10 1.26% |
As of the 30th of January, Financial shows the Downside Deviation of 1.18, mean deviation of 0.739, and Coefficient Of Variation of 470.29. 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. Please confirm Financial 15 Split maximum drawdown, and the relationship between the information ratio and downside variance to decide if Financial 15 Split is priced favorably, providing market reflects its regular price of 8.05 per share. Given that Financial has jensen alpha of 0.255, we urge you to verify Financial 15 Split's prevailing market performance to make sure the company can sustain itself at a future point.
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 pink sheet 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.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Financial on November 1, 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 Canadian Banc, G Resources, Fiera Capital, Canadian General, GAMCO Investors, IP Group, and Cryptology Asset. Financial 15 Split Corp. is an close ended equity mutual fund launched by Quadravest Inc 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 pink sheet 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 | 1.18 | |||
| Information Ratio | 0.1657 | |||
| Maximum Drawdown | 6.72 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 4.01 |
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 | 0.1588 | |||
| Jensen Alpha | 0.255 | |||
| Total Risk Alpha | 0.1754 | |||
| Sortino Ratio | 0.183 | |||
| Treynor Ratio | 1.08 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Financial'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.
Financial January 30, 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 | 0.1588 | |||
| Market Risk Adjusted Performance | 1.09 | |||
| Mean Deviation | 0.739 | |||
| Semi Deviation | 0.2142 | |||
| Downside Deviation | 1.18 | |||
| Coefficient Of Variation | 470.29 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.71 | |||
| Information Ratio | 0.1657 | |||
| Jensen Alpha | 0.255 | |||
| Total Risk Alpha | 0.1754 | |||
| Sortino Ratio | 0.183 | |||
| Treynor Ratio | 1.08 | |||
| Maximum Drawdown | 6.72 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 4.01 | |||
| Downside Variance | 1.4 | |||
| Semi Variance | 0.0459 | |||
| Expected Short fall | (2.02) | |||
| Skewness | 2.1 | |||
| Kurtosis | 7.47 |
Financial 15 Split Backtested Returns
Financial appears to be not too volatile, given 3 months investment horizon. Financial 15 Split secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the company had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Financial 15 Split, which you can use to evaluate the volatility of the firm. Please utilize Financial's Downside Deviation of 1.18, mean deviation of 0.739, and Coefficient Of Variation of 470.29 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Financial holds a performance score of 15. The firm shows a Beta (market volatility) of 0.25, 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. Please check Financial's downside variance, rate of daily change, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether Financial's price patterns will revert.
Auto-correlation | 0.46 |
Average predictability
Financial 15 Split has average predictability. Overlapping area represents the amount of predictability between Financial time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 Financial 15 Split price movement. The serial correlation of 0.46 indicates that about 46.0% of current Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Financial technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Financial 15 Split Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Financial 15 Split volatility developed by Welles Wilder.
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 January 30, 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 | 0.1588 | |||
| Market Risk Adjusted Performance | 1.09 | |||
| Mean Deviation | 0.739 | |||
| Semi Deviation | 0.2142 | |||
| Downside Deviation | 1.18 | |||
| Coefficient Of Variation | 470.29 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.71 | |||
| Information Ratio | 0.1657 | |||
| Jensen Alpha | 0.255 | |||
| Total Risk Alpha | 0.1754 | |||
| Sortino Ratio | 0.183 | |||
| Treynor Ratio | 1.08 | |||
| Maximum Drawdown | 6.72 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 4.01 | |||
| Downside Variance | 1.4 | |||
| Semi Variance | 0.0459 | |||
| Expected Short fall | (2.02) | |||
| Skewness | 2.1 | |||
| Kurtosis | 7.47 |
Financial January 30, 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 8.05 | ||
| Day Typical Price | 8.05 | ||
| Price Action Indicator | 0.05 |
Complementary Tools for Financial Pink Sheet 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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