GoldMining (UK) Technical Analysis
| 0UYN Stock | 1.22 0.02 1.61% |
As of the 15th of December 2024, GoldMining retains the Downside Deviation of 3.01, risk adjusted performance of 0.0153, and Market Risk Adjusted Performance of 0.0643. GoldMining 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. Please check out GoldMining coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if GoldMining is priced fairly, providing market reflects its last-minute price of 1.22 per share.
GoldMining Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as GoldMining, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GoldMiningGoldMining |
GoldMining 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.
GoldMining Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 GoldMining volatility. High ATR values indicate high volatility, and low values indicate low volatility.
GoldMining Trend Analysis
Use this graph to draw trend lines for GoldMining. You can use it to identify possible trend reversals for GoldMining 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 GoldMining price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.GoldMining Best Fit Change Line
The following chart estimates an ordinary least squares regression model for GoldMining applied against its price change over selected period. The best fit line has a slop of 0.0001 , which means GoldMining 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 GoldMining price change compared to its average price change.About GoldMining 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 GoldMining 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 GoldMining based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on GoldMining price pattern first instead of the macroeconomic environment surrounding GoldMining. By analyzing GoldMining'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 GoldMining'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 GoldMining specific price patterns or momentum indicators. Please read more on our technical analysis page.
GoldMining December 15, 2024 Technical Indicators
Most technical analysis of GoldMining 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 GoldMining from various momentum indicators to cycle indicators. When you analyze GoldMining 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 | 0.0153 | |||
| Market Risk Adjusted Performance | 0.0643 | |||
| Mean Deviation | 2.29 | |||
| Semi Deviation | 2.71 | |||
| Downside Deviation | 3.01 | |||
| Coefficient Of Variation | 9400.22 | |||
| Standard Deviation | 2.99 | |||
| Variance | 8.97 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0543 | |||
| Maximum Drawdown | 12.22 | |||
| Value At Risk | (4.65) | |||
| Potential Upside | 5.04 | |||
| Downside Variance | 9.04 | |||
| Semi Variance | 7.34 | |||
| Expected Short fall | (2.83) | |||
| Skewness | (0.03) | |||
| Kurtosis | 0.4539 |
Additional Tools for GoldMining Stock Analysis
When running GoldMining's price analysis, check to measure GoldMining'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 GoldMining is operating at the current time. Most of GoldMining's value examination focuses on studying past and present price action to predict the probability of GoldMining's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GoldMining's price. Additionally, you may evaluate how the addition of GoldMining to your portfolios can decrease your overall portfolio volatility.