ArcelorMittal (Netherlands) Technical Analysis
| MT Stock | EUR 22.91 0.70 2.96% |
As of the 18th of December 2024, ArcelorMittal shows the mean deviation of 1.31, and Risk Adjusted Performance of 0.0696. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of ArcelorMittal, as well as the relationship between them. Please confirm ArcelorMittal SA treynor ratio, and the relationship between the standard deviation and downside variance to decide if ArcelorMittal SA is priced correctly, providing market reflects its regular price of 22.91 per share.
ArcelorMittal Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ArcelorMittal, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArcelorMittalArcelorMittal |
ArcelorMittal 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.
ArcelorMittal SA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 ArcelorMittal SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ArcelorMittal SA Trend Analysis
Use this graph to draw trend lines for ArcelorMittal SA. You can use it to identify possible trend reversals for ArcelorMittal 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 ArcelorMittal price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ArcelorMittal Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ArcelorMittal SA applied against its price change over selected period. The best fit line has a slop of 0.03 , which means ArcelorMittal SA will continue generating value for investors. It has 122 observation points and a regression sum of squares at 33.61, which is the sum of squared deviations for the predicted ArcelorMittal price change compared to its average price change.About ArcelorMittal 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 ArcelorMittal SA 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 ArcelorMittal SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ArcelorMittal SA price pattern first instead of the macroeconomic environment surrounding ArcelorMittal SA. By analyzing ArcelorMittal'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 ArcelorMittal'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 ArcelorMittal specific price patterns or momentum indicators. Please read more on our technical analysis page.
ArcelorMittal December 18, 2024 Technical Indicators
Most technical analysis of ArcelorMittal 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 ArcelorMittal from various momentum indicators to cycle indicators. When you analyze ArcelorMittal 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.
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0696 | |||
| Market Risk Adjusted Performance | 0.6738 | |||
| Mean Deviation | 1.31 | |||
| Semi Deviation | 1.5 | |||
| Downside Deviation | 1.77 | |||
| Coefficient Of Variation | 1144.43 | |||
| Standard Deviation | 1.93 | |||
| Variance | 3.71 | |||
| Information Ratio | 0.0522 | |||
| Jensen Alpha | 0.1445 | |||
| Total Risk Alpha | 0.0049 | |||
| Sortino Ratio | 0.0569 | |||
| Treynor Ratio | 0.6638 | |||
| Maximum Drawdown | 11.09 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 3.93 | |||
| Downside Variance | 3.13 | |||
| Semi Variance | 2.26 | |||
| Expected Short fall | (1.43) | |||
| Skewness | 0.6323 | |||
| Kurtosis | 1.95 |
Additional Tools for ArcelorMittal Stock Analysis
When running ArcelorMittal's price analysis, check to measure ArcelorMittal'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 ArcelorMittal is operating at the current time. Most of ArcelorMittal's value examination focuses on studying past and present price action to predict the probability of ArcelorMittal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ArcelorMittal's price. Additionally, you may evaluate how the addition of ArcelorMittal to your portfolios can decrease your overall portfolio volatility.