Angold Resources Stock Technical Analysis
AAU Stock | 0.17 0.01 5.56% |
As of the 24th of April, Angold Resources shows the mean deviation of 7.89, and Risk Adjusted Performance of 0.0707. Angold Resources technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for Angold Resources, which can be compared to its peers. Please confirm Angold Resources standard deviation and the relationship between the treynor ratio and kurtosis to decide if Angold Resources is priced correctly, providing market reflects its regular price of 0.17 per share.
Angold Resources Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Angold, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AngoldAngold |
Angold Resources 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.
Angold Resources Technical Analysis
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Angold Resources Trend Analysis
Use this graph to draw trend lines for Angold Resources. You can use it to identify possible trend reversals for Angold Resources 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 Angold Resources price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Angold Resources Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Angold Resources applied against its price change over selected period. The best fit line has a slop of 0.0003 , which may suggest that Angold Resources market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Angold Resources price change compared to its average price change.About Angold Resources 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 Angold Resources 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 Angold Resources based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Angold Resources price pattern first instead of the macroeconomic environment surrounding Angold Resources. By analyzing Angold Resources'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 Angold Resources'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 Angold Resources specific price patterns or momentum indicators. Please read more on our technical analysis page.
Angold Resources April 24, 2024 Technical Indicators
Most technical analysis of Angold 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 Angold from various momentum indicators to cycle indicators. When you analyze Angold 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 | 0.0707 | |||
Market Risk Adjusted Performance | (0.39) | |||
Mean Deviation | 7.89 | |||
Semi Deviation | 5.98 | |||
Downside Deviation | 8.82 | |||
Coefficient Of Variation | 1019.93 | |||
Standard Deviation | 15.0 | |||
Variance | 224.96 | |||
Information Ratio | 0.0917 | |||
Jensen Alpha | 1.77 | |||
Total Risk Alpha | (0.59) | |||
Sortino Ratio | 0.1558 | |||
Treynor Ratio | (0.40) | |||
Maximum Drawdown | 118.18 | |||
Value At Risk | (11.76) | |||
Potential Upside | 16.67 | |||
Downside Variance | 77.87 | |||
Semi Variance | 35.81 | |||
Expected Short fall | (16.79) | |||
Skewness | 4.59 | |||
Kurtosis | 28.8 |
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Angold Stock analysis
When running Angold Resources' price analysis, check to measure Angold Resources' 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 Angold Resources is operating at the current time. Most of Angold Resources' value examination focuses on studying past and present price action to predict the probability of Angold Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Angold Resources' price. Additionally, you may evaluate how the addition of Angold Resources to your portfolios can decrease your overall portfolio volatility.
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