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MT vs SCZ
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is MT is a Hold and SCZ is a Hold.
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
MT’s FA Score shows that 2 FA rating(s) are green while.
- MT’s FA Score: 2 green, 3 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
MT’s TA Score shows that 4 TA indicator(s) are bullish.
- MT’s TA Score: 4 bullish, 4 bearish.
Price Growth
MT (@Steel) experienced а +2.42% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Steel industry was +3.40%. For the same industry, the average monthly price growth was +5.34%, and the average quarterly price growth was +26.36%.
Reported Earning Dates
MT is expected to report earnings on Feb 05, 2026.
Industries' Descriptions
@Steel (+3.40% weekly)The steel industry includes manufacturers of steel and steel-related products. Companies use iron ore and scrap steel to produce steel. The industry also includes companies involved in mining and marketing of steel products. Along with serving some of the domestic markets, U.S. steel output has, over the years, been used by international economies as well. Competition from imported steel has also increased over time. The industry could be susceptible to business cycles, since the element is an important input in industrial production. Some of the globally-renowned steel behemoths include Nucor Corporation, Vale, and ArcelorMittal SA.
MT | ||
|---|---|---|
OUTLOOK RATING 1..100 | 23 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 16 Undervalued | |
PROFIT vs RISK RATING 1..100 | 28 | |
SMR RATING 1..100 | 40 | |
PRICE GROWTH RATING 1..100 | 38 | |
P/E GROWTH RATING 1..100 | 68 | |
SEASONALITY SCORE 1..100 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
| MT | SCZ | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 75% | 1 day ago 78% |
| Stochastic ODDS (%) | 1 day ago 64% | 1 day ago 77% |
| Momentum ODDS (%) | 1 day ago 69% | 14 days ago 83% |
| MACD ODDS (%) | 1 day ago 61% | 14 days ago 88% |
| TrendWeek ODDS (%) | 1 day ago 70% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 67% | 1 day ago 78% |
| Advances ODDS (%) | 1 day ago 68% | 4 days ago 82% |
| Declines ODDS (%) | 7 days ago 65% | 16 days ago 81% |
| BollingerBands ODDS (%) | 1 day ago 81% | 1 day ago 76% |
| Aroon ODDS (%) | 1 day ago 63% | 1 day ago 80% |
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MT and
Correlation & Price change
A.I.dvisor indicates that over the last year, MT has been loosely correlated with TX. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if MT jumps, then TX could also see price increases.
SCZ and
Correlation & Price change
A.I.dvisor indicates that over the last year, SCZ has been closely correlated with MT. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SCZ jumps, then MT could also see price increases.