Power Assets Holdings Stock Technical Analysis
| HGKGF Stock | USD 6.74 0.24 3.69% |
As of the 21st of December, Power Assets holds the Risk Adjusted Performance of 0.01, coefficient of variation of 12446.55, and Variance of 1.56. Power Assets Holdings technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the company's future prices. Please check Power Assets Holdings standard deviation, as well as the relationship between the treynor ratio and skewness to decide if Power Assets Holdings is priced some-what accurately, providing market reflects its current price of 6.74 per share. Given that Power Assets has total risk alpha of (0.03), we recommend you to check out Power Assets Holdings's recent market performance to make sure the company can sustain itself at a future point.
Power Assets 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 Assets 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.
Power Assets Holdings Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Assets Holdings volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Power Assets Holdings Trend Analysis
Use this graph to draw trend lines for Power Assets Holdings. You can use it to identify possible trend reversals for Power Assets 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 Assets price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Power Assets Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Power Assets Holdings applied against its price change over selected period. The best fit line has a slop of 0.0019 , which may suggest that Power Assets Holdings market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.14, which is the sum of squared deviations for the predicted Power Assets price change compared to its average price change.About Power Assets 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 Assets Holdings 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 Assets Holdings based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Power Assets Holdings price pattern first instead of the macroeconomic environment surrounding Power Assets Holdings. By analyzing Power Assets'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 Assets'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 Assets specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Assets December 21, 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 | 0.01 | |||
| Market Risk Adjusted Performance | 0.0099 | |||
| Mean Deviation | 0.3719 | |||
| Coefficient Of Variation | 12446.55 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.56 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0085 | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.000095) | |||
| Maximum Drawdown | 8.99 | |||
| Potential Upside | 1.58 | |||
| Skewness | (1.52) | |||
| Kurtosis | 13.04 |
Complementary Tools for Power Pink Sheet analysis
When running Power Assets' price analysis, check to measure Power Assets' 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 Assets is operating at the current time. Most of Power Assets' value examination focuses on studying past and present price action to predict the probability of Power Assets' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Assets' price. Additionally, you may evaluate how the addition of Power Assets to your portfolios can decrease your overall portfolio volatility.
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