ArcelorMittal (Spain) Technical Analysis
| MTS Stock | EUR 54.80 0.36 0.66% |
As of the 23rd of February, ArcelorMittal shows the risk adjusted performance of 0.2828, and Mean Deviation of 1.54. 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.
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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ArcelorMittal's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ArcelorMittal.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in ArcelorMittal on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding ArcelorMittal SA or generate 0.0% return on investment in ArcelorMittal over 90 days. ArcelorMittal is related to or competes with Acerinox, Vale SA, Miquel Y, Iberpapel Gestion, Ercros, ENCE Energa, and Plasticos Compuestos. ArcelorMittal, together with its subsidiaries, owns and operates steel manufacturing and mining facilities in Europe, No... More
ArcelorMittal Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ArcelorMittal's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ArcelorMittal SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.94 | |||
| Information Ratio | 0.324 | |||
| Maximum Drawdown | 11.17 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 4.68 |
ArcelorMittal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ArcelorMittal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ArcelorMittal's standard deviation. In reality, there are many statistical measures that can use ArcelorMittal historical prices to predict the future ArcelorMittal's volatility.| Risk Adjusted Performance | 0.2828 | |||
| Jensen Alpha | 0.7399 | |||
| Total Risk Alpha | 0.5525 | |||
| Sortino Ratio | 0.348 | |||
| Treynor Ratio | 10.1 |
ArcelorMittal February 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2828 | |||
| Market Risk Adjusted Performance | 10.11 | |||
| Mean Deviation | 1.54 | |||
| Semi Deviation | 1.13 | |||
| Downside Deviation | 1.94 | |||
| Coefficient Of Variation | 275.73 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.33 | |||
| Information Ratio | 0.324 | |||
| Jensen Alpha | 0.7399 | |||
| Total Risk Alpha | 0.5525 | |||
| Sortino Ratio | 0.348 | |||
| Treynor Ratio | 10.1 | |||
| Maximum Drawdown | 11.17 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 4.68 | |||
| Downside Variance | 3.76 | |||
| Semi Variance | 1.28 | |||
| Expected Short fall | (1.78) | |||
| Skewness | 0.1985 | |||
| Kurtosis | 0.5364 |
ArcelorMittal SA Backtested Returns
ArcelorMittal appears to be very steady, given 3 months investment horizon. ArcelorMittal SA secures Sharpe Ratio (or Efficiency) of 0.34, which signifies that the company had a 0.34 % return per unit of standard deviation over the last 3 months. By analyzing ArcelorMittal's technical indicators, you can evaluate if the expected return of 0.68% is justified by implied risk. Please makes use of ArcelorMittal's mean deviation of 1.54, and Risk Adjusted Performance of 0.2828 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ArcelorMittal holds a performance score of 26. The firm shows a Beta (market volatility) of 0.0738, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ArcelorMittal's returns are expected to increase less than the market. However, during the bear market, the loss of holding ArcelorMittal is expected to be smaller as well. Please check ArcelorMittal's maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to make a quick decision on whether ArcelorMittal's price patterns will revert.
Auto-correlation | 0.87 |
Very good predictability
ArcelorMittal SA has very good predictability. Overlapping area represents the amount of predictability between ArcelorMittal time series from 25th of November 2025 to 9th of January 2026 and 9th of January 2026 to 23rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ArcelorMittal SA price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current ArcelorMittal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 23.56 |
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 ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for ArcelorMittal SA across different markets.
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 February 23, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2828 | |||
| Market Risk Adjusted Performance | 10.11 | |||
| Mean Deviation | 1.54 | |||
| Semi Deviation | 1.13 | |||
| Downside Deviation | 1.94 | |||
| Coefficient Of Variation | 275.73 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.33 | |||
| Information Ratio | 0.324 | |||
| Jensen Alpha | 0.7399 | |||
| Total Risk Alpha | 0.5525 | |||
| Sortino Ratio | 0.348 | |||
| Treynor Ratio | 10.1 | |||
| Maximum Drawdown | 11.17 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 4.68 | |||
| Downside Variance | 3.76 | |||
| Semi Variance | 1.28 | |||
| Expected Short fall | (1.78) | |||
| Skewness | 0.1985 | |||
| Kurtosis | 0.5364 |
ArcelorMittal February 23, 2026 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 ArcelorMittal 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 | 0.03 | ||
| Daily Balance Of Power | 0.23 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 55.02 | ||
| Day Typical Price | 54.95 | ||
| Price Action Indicator | (0.04) | ||
| Market Facilitation Index | 1.56 |
Complementary 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.
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |