Financial 15 Split Stock Technical Analysis
FNNCF Stock | USD 7.28 0.21 2.97% |
As of the 28th of November, Financial shows the Downside Deviation of 2.35, mean deviation of 1.16, and Coefficient Of Variation of 567.92. 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 7.28 per share. Given that Financial has jensen alpha of 0.2816, 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 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
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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.
Financial 15 Split Trend Analysis
Use this graph to draw trend lines for Financial 15 Split. You can use it to identify possible trend reversals for Financial as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Financial 15 Split applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Financial 15 Split will continue generating value for investors. It has 122 observation points and a regression sum of squares at 9.7, which is the sum of squared deviations for the predicted Financial price change compared to its average price change.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 November 28, 2024 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 | 0.1403 | |||
Market Risk Adjusted Performance | 10.83 | |||
Mean Deviation | 1.16 | |||
Semi Deviation | 1.14 | |||
Downside Deviation | 2.35 | |||
Coefficient Of Variation | 567.92 | |||
Standard Deviation | 1.67 | |||
Variance | 2.8 | |||
Information Ratio | 0.1011 | |||
Jensen Alpha | 0.2816 | |||
Total Risk Alpha | 0.0327 | |||
Sortino Ratio | 0.0721 | |||
Treynor Ratio | 10.82 | |||
Maximum Drawdown | 10.63 | |||
Value At Risk | (2.33) | |||
Potential Upside | 2.98 | |||
Downside Variance | 5.51 | |||
Semi Variance | 1.29 | |||
Expected Short fall | (2.21) | |||
Skewness | (0.40) | |||
Kurtosis | 2.71 |
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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