Cmc Metals Stock Technical Analysis
CMCXF Stock | USD 0.01 0.01 50.00% |
As of the 29th of November, CMC Metals owns the market risk adjusted performance of 0.6179, and Coefficient Of Variation of 742.02. CMC Metals technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm's future prices. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We have analyzed and interpolated nineteen technical drivers for CMC Metals, which can be compared to its peers in the sector. Please confirm CMC Metals coefficient of variation and the relationship between the jensen alpha and skewness to decide if CMC Metals is priced correctly, providing market reflects its prevailing price of 0.01 per share. As CMC Metals appears to be a penny stock we also recommend to validate its total risk alpha numbers.
CMC Metals Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CMC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CMCCMC |
CMC Metals technical otc 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, otc market cycles, or different charting patterns.
CMC Metals Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 CMC Metals volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CMC Metals Trend Analysis
Use this graph to draw trend lines for CMC Metals. You can use it to identify possible trend reversals for CMC Metals 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 CMC Metals price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CMC Metals Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CMC Metals applied against its price change over selected period. The best fit line has a slop of 0.00000582 , which means CMC Metals 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 CMC Metals price change compared to its average price change.About CMC Metals 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 CMC Metals 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 CMC Metals based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on CMC Metals price pattern first instead of the macroeconomic environment surrounding CMC Metals. By analyzing CMC Metals'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 CMC Metals'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 CMC Metals specific price patterns or momentum indicators. Please read more on our technical analysis page.
CMC Metals November 29, 2024 Technical Indicators
Most technical analysis of CMC 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 CMC from various momentum indicators to cycle indicators. When you analyze CMC 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 | 0.1131 | |||
Market Risk Adjusted Performance | 0.6179 | |||
Mean Deviation | 22.96 | |||
Semi Deviation | 19.73 | |||
Downside Deviation | 53.03 | |||
Coefficient Of Variation | 742.02 | |||
Standard Deviation | 39.35 | |||
Variance | 1548.37 | |||
Information Ratio | 0.1316 | |||
Jensen Alpha | 4.29 | |||
Total Risk Alpha | (0.63) | |||
Sortino Ratio | 0.0976 | |||
Treynor Ratio | 0.6079 | |||
Maximum Drawdown | 150.0 | |||
Value At Risk | (50.00) | |||
Potential Upside | 100.0 | |||
Downside Variance | 2812.5 | |||
Semi Variance | 389.34 | |||
Expected Short fall | (100.00) | |||
Skewness | 1.37 | |||
Kurtosis | 1.98 |
Complementary Tools for CMC OTC Stock analysis
When running CMC Metals' price analysis, check to measure CMC Metals' 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 CMC Metals is operating at the current time. Most of CMC Metals' value examination focuses on studying past and present price action to predict the probability of CMC Metals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CMC Metals' price. Additionally, you may evaluate how the addition of CMC Metals to your portfolios can decrease your overall portfolio volatility.
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