Mcewen Mining Stock Technical Analysis
| MUX Stock | CAD 15.83 0.36 2.33% |
As of the 22nd of July, McEwen Mining secures the mean deviation of 2.21, and Risk Adjusted Performance of 0.1508. Concerning fundamental indicators, the technical analysis model lets you check available technical drivers of McEwen Mining, as well as the relationship between them.
McEwen 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 McEwen, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to McEwenMcEwen |
McEwen 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.
McEwen Mining Technical Analysis
The output start index for this execution was nine with a total number of output elements of fifty-two. The Normalized Average True Range is used to analyze tradable apportunities for McEwen Mining across different markets.
McEwen Mining Trend Analysis
Use this graph to draw trend lines for McEwen Mining. You can use it to identify possible trend reversals for McEwen 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 McEwen Mining price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.McEwen Mining Best Fit Change Line
The following chart estimates an ordinary least squares regression model for McEwen Mining applied against its price change over selected period. The best fit line has a slop of 0.1 , which means McEwen Mining will continue generating value for investors. It has 122 observation points and a regression sum of squares at 361.41, which is the sum of squared deviations for the predicted McEwen Mining price change compared to its average price change.About McEwen 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 McEwen 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 McEwen Mining based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on McEwen Mining price pattern first instead of the macroeconomic environment surrounding McEwen Mining. By analyzing McEwen 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 McEwen 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 McEwen Mining specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2024 | 2025 (projected) | Dividend Yield | 0.003464 | 0.004568 | Price To Sales Ratio | 2.27 | 2.16 |
McEwen Mining July 22, 2025 Technical Indicators
Most technical analysis of McEwen 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 McEwen from various momentum indicators to cycle indicators. When you analyze McEwen 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 | 0.1508 | |||
| Market Risk Adjusted Performance | 1.09 | |||
| Mean Deviation | 2.21 | |||
| Semi Deviation | 2.24 | |||
| Downside Deviation | 2.56 | |||
| Coefficient Of Variation | 648.66 | |||
| Standard Deviation | 3.2 | |||
| Variance | 10.26 | |||
| Information Ratio | 0.1086 | |||
| Jensen Alpha | 0.423 | |||
| Total Risk Alpha | 0.0165 | |||
| Sortino Ratio | 0.1359 | |||
| Treynor Ratio | 1.08 | |||
| Maximum Drawdown | 20.82 | |||
| Value At Risk | (4.26) | |||
| Potential Upside | 5.24 | |||
| Downside Variance | 6.55 | |||
| Semi Variance | 5.03 | |||
| Expected Short fall | (2.51) | |||
| Skewness | 1.6 | |||
| Kurtosis | 6.3 |
McEwen Mining July 22, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as McEwen stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,241 | ||
| Daily Balance Of Power | 0.65 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 15.63 | ||
| Day Typical Price | 15.69 | ||
| Price Action Indicator | 0.38 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in McEwen Mining. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in McEwen Stock, please use our How to Invest in McEwen Mining guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.