Quantitative analysis for ArcelorMittal S.A. (MT) — Materials: AI-powered alpha score, Benjamin Graham intrinsic value, ML-based forecast, technical and fundamental signals, and insider activity.
Current Q-Score verdict: Strong Buy (81.0) (grade A). 26 signals analyzed (22 differentiated alt-data).
MT stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.
| Date | High | Low | Close |
|---|---|---|---|
| 2026-04-29 | $57.80 | $55.80 | $55.92 |
| 2026-05-11 | $62.73 | $61.84 | $62.34 |
| 2026-05-21 | $65.28 | $62.55 | $64.11 |
| 2026-06-03 | $72.23 | $70.89 | $71.39 |
| 2026-06-15 | $71.48 | $69.17 | $69.21 |
| 2026-06-26 | $60.33 | $59.39 | $59.88 |
| 2026-07-09 | $63.54 | $61.71 | $62.96 |
| 2026-07-21 | $67.16 | $65.10 | $65.80 |
| 2026-07-31 | $70.59 | $68.82 | $70.14 |
| 2026-08-12 | $75.19 | $73.79 | $74.18 |
| 2026-08-24 | $73.97 | $72.42 | $72.64 |
| 2026-09-03 | $76.72 | $75.38 | $76.07 |
How ArcelorMittal S.A. stacks up against same-sector peers on market capitalization and alpha scores:
| Ticker | Company | Market Cap | Alpha Score |
|---|---|---|---|
| FNV | Franco-Nevada Corporation | $43.4B | — |
| WPM | Wheaton Precious Metals Corp. | $57.7B | — |
| GFI | Gold Fields Limited | $36.4B | — |
| KGC | Kinross Gold Corporation | $34.3B | — |
View all Materials stocks by valuation and signals →
ArcelorMittal S.A. (MT) scores Strong Buy (81.0), and the composite conceals a 58-point disagreement between its dimensions. It is strongest on technicals at 83, and weakest on analyst consensus at 25. A stock can carry technicals that high while analyst consensus sits at 25; the composite averages that tension away, which is why the breakdown is worth reading before the headline number. See Q-Score methodology for how these dimensions are weighted and combined.
| Dimension | Score |
|---|---|
| technicals | 83 |
| analyst consensus | 25 |
StoQuant analyzes 26 signals (22 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.
All StoQuant signals are explained in our knowledge base:
Materials Hub — Top performers and valuation outliers in Materials
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