MC Mining (South Africa) Technical Analysis
| MCZ Stock | 125.00 12.00 8.76% |
As of the 31st of January, MC Mining owns the Information Ratio of (0.1), market risk adjusted performance of 0.733, and Mean Deviation of 2.37. In connection with fundamental indicators, the technical analysis model lets you check timely technical drivers of MC Mining, as well as the relationship between them. Please verify MC Mining coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if MC Mining is priced some-what accurately, providing market reflects its prevailing price of 125.0 per share.
MC 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 MCZ, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MCZMCZ |
MC 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.
MC Mining Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 MC Mining volatility. High ATR values indicate high volatility, and low values indicate low volatility.
MC Mining Trend Analysis
Use this graph to draw trend lines for MC Mining. You can use it to identify possible trend reversals for MC 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 MC Mining price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.MC Mining Best Fit Change Line
The following chart estimates an ordinary least squares regression model for MC Mining applied against its price change over selected period. The best fit line has a slop of 0.51 , which may suggest that MC Mining market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9949.3, which is the sum of squared deviations for the predicted MC Mining price change compared to its average price change.About MC 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 MC 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 MC Mining based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MC Mining price pattern first instead of the macroeconomic environment surrounding MC Mining. By analyzing MC 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 MC 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 MC Mining specific price patterns or momentum indicators. Please read more on our technical analysis page.
MC Mining January 31, 2025 Technical Indicators
Most technical analysis of MCZ 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 MCZ from various momentum indicators to cycle indicators. When you analyze MCZ 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.733 | |||
| Mean Deviation | 2.37 | |||
| Coefficient Of Variation | (1,297) | |||
| Standard Deviation | 4.58 | |||
| Variance | 21.0 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | 0.723 | |||
| Maximum Drawdown | 27.89 | |||
| Value At Risk | (8.09) | |||
| Potential Upside | 4.29 | |||
| Skewness | 1.18 | |||
| Kurtosis | 5.52 |
Complementary Tools for MCZ Stock analysis
When running MC Mining's price analysis, check to measure MC Mining'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 MC Mining is operating at the current time. Most of MC Mining's value examination focuses on studying past and present price action to predict the probability of MC Mining's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MC Mining's price. Additionally, you may evaluate how the addition of MC Mining to your portfolios can decrease your overall portfolio volatility.
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