Cobalt Power Group Stock Technical Analysis
PGP Stock | CAD 0.02 0.01 20.00% |
As of the 20th of December, Cobalt Power shows the mean deviation of 6.14, and Risk Adjusted Performance of (0). In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Cobalt Power, as well as the relationship between them. Please confirm Cobalt Power Group mean deviation, information ratio, as well as the relationship between the Information Ratio and potential upside to decide if Cobalt Power Group is priced correctly, providing market reflects its regular price of 0.02 per share.
Cobalt Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cobalt, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CobaltCobalt |
Cobalt Power technical 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, stock market cycles, or different charting patterns.
Cobalt Power Group 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 Cobalt Power Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Cobalt Power Group Trend Analysis
Use this graph to draw trend lines for Cobalt Power Group. You can use it to identify possible trend reversals for Cobalt Power 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 Cobalt Power price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Cobalt Power Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Cobalt Power Group applied against its price change over selected period. The best fit line has a slop of 0.0006 , which may suggest that Cobalt Power Group market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Cobalt Power price change compared to its average price change.About Cobalt Power 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 Cobalt Power Group 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 Cobalt Power Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Cobalt Power Group price pattern first instead of the macroeconomic environment surrounding Cobalt Power Group. By analyzing Cobalt Power'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 Cobalt Power'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 Cobalt Power specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cobalt Power December 20, 2024 Technical Indicators
Most technical analysis of Cobalt 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 Cobalt from various momentum indicators to cycle indicators. When you analyze Cobalt 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) | |||
Market Risk Adjusted Performance | 0.855 | |||
Mean Deviation | 6.14 | |||
Coefficient Of Variation | (5,892) | |||
Standard Deviation | 16.22 | |||
Variance | 263.25 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | (0.28) | |||
Total Risk Alpha | (0.74) | |||
Treynor Ratio | 0.845 | |||
Maximum Drawdown | 150.0 | |||
Value At Risk | (20.00) | |||
Potential Upside | 25.0 | |||
Skewness | 3.32 | |||
Kurtosis | 23.45 |
Additional Tools for Cobalt Stock Analysis
When running Cobalt Power's price analysis, check to measure Cobalt Power'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 Cobalt Power is operating at the current time. Most of Cobalt Power's value examination focuses on studying past and present price action to predict the probability of Cobalt Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cobalt Power's price. Additionally, you may evaluate how the addition of Cobalt Power to your portfolios can decrease your overall portfolio volatility.