Generation Mining Stock Technical Analysis
| GENM Stock | CAD 0.28 0.02 7.69% |
As of the 1st of July, Generation Mining retains the Downside Deviation of 6.08, risk adjusted performance of 0.0472, and Market Risk Adjusted Performance of 42.55. Generation Mining technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Generation Mining Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Generation, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GenerationGeneration |
Generation Mining 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.
Generation Mining Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Generation Mining volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Generation Mining Trend Analysis
Use this graph to draw trend lines for Generation Mining. You can use it to identify possible trend reversals for Generation Mining 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 Generation Mining price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Generation Mining Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Generation Mining applied against its price change over selected period. The best fit line has a slop of 0.0002 , which means Generation Mining will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Generation Mining price change compared to its average price change.About Generation Mining 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 Generation Mining 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 Generation Mining based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Generation Mining price pattern first instead of the macroeconomic environment surrounding Generation Mining. By analyzing Generation Mining'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 Generation Mining'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 Generation Mining specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Payables Turnover | 786.13 | 825.44 | Days Of Inventory On Hand | 74.87 | 66.55 |
Generation Mining July 1, 2024 Technical Indicators
Most technical analysis of Generation 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 Generation from various momentum indicators to cycle indicators. When you analyze Generation 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 | 0.0472 | |||
| Market Risk Adjusted Performance | 42.55 | |||
| Mean Deviation | 3.35 | |||
| Semi Deviation | 3.7 | |||
| Downside Deviation | 6.08 | |||
| Coefficient Of Variation | 1682.77 | |||
| Standard Deviation | 4.75 | |||
| Variance | 22.56 | |||
| Information Ratio | 0.0603 | |||
| Jensen Alpha | 0.2724 | |||
| Total Risk Alpha | 0.3763 | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 42.54 | |||
| Maximum Drawdown | 22.71 | |||
| Value At Risk | (7.41) | |||
| Potential Upside | 8.0 | |||
| Downside Variance | 36.99 | |||
| Semi Variance | 13.69 | |||
| Expected Short fall | (5.81) | |||
| Skewness | 0.2118 | |||
| Kurtosis | 0.4815 |
Other Information on Investing in Generation Stock
Generation Mining financial ratios help investors to determine whether Generation Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Generation with respect to the benefits of owning Generation Mining security.