Power Financial 51 Preferred Stock Technical Analysis
| PWF-PL Preferred Stock | CAD 20.73 0.01 0.05% |
As of the 4th of December, Power Financial holds the Coefficient Of Variation of (2,343), risk adjusted performance of (0.03), and Variance of 0.4569. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Power Financial, as well as the relationship between them.
Power 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 Power, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PowerPower |
Power 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.
Power Financial 51 Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Power Financial 51 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Power Financial 51 Trend Analysis
Use this graph to draw trend lines for Power Financial 51. You can use it to identify possible trend reversals for Power 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 Power Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Power Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Power Financial 51 applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that Power Financial 51 market price will keep on failing further. It has 122 observation points and a regression sum of squares at 24.06, which is the sum of squared deviations for the predicted Power Financial price change compared to its average price change.About Power 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 Power Financial 51 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 Power Financial 51 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Power Financial 51 price pattern first instead of the macroeconomic environment surrounding Power Financial 51. By analyzing Power 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 Power 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 Power Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Financial December 4, 2024 Technical Indicators
Most technical analysis of Power 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.2954 | |||
| Mean Deviation | 0.4796 | |||
| Coefficient Of Variation | (2,343) | |||
| Standard Deviation | 0.6759 | |||
| Variance | 0.4569 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | 0.2854 | |||
| Maximum Drawdown | 3.69 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.06 | |||
| Skewness | (0.52) | |||
| Kurtosis | 1.46 |
Complementary Tools for Power Preferred Stock analysis
When running Power Financial's price analysis, check to measure Power 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 Power Financial is operating at the current time. Most of Power Financial's value examination focuses on studying past and present price action to predict the probability of Power 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 Power Financial's price. Additionally, you may evaluate how the addition of Power Financial to your portfolios can decrease your overall portfolio volatility.
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