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 StrongBuy and SCZ is a Buy.
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 6 TA indicator(s) are bullish.
- MT’s TA Score: 6 bullish, 4 bearish.
Price Growth
MT (@Steel) experienced а +8.01% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Steel industry was +2.71%. For the same industry, the average monthly price growth was -4.09%, and the average quarterly price growth was -0.96%.
Reported Earning Dates
MT is expected to report earnings on Jul 31, 2025.
Industries' Descriptions
@Steel (+2.71% 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 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 14 Undervalued | |
PROFIT vs RISK RATING 1..100 | 29 | |
SMR RATING 1..100 | 99 | |
PRICE GROWTH RATING 1..100 | 45 | |
P/E GROWTH RATING 1..100 | 76 | |
SEASONALITY SCORE 1..100 | n/a |
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 90% |
| Stochastic ODDS (%) | 1 day ago 71% | 1 day ago 80% |
| Momentum ODDS (%) | 1 day ago 73% | 1 day ago 86% |
| MACD ODDS (%) | 1 day ago 69% | 1 day ago 82% |
| TrendWeek ODDS (%) | 1 day ago 73% | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 64% | 1 day ago 80% |
| Advances ODDS (%) | 1 day ago 70% | 4 days ago 83% |
| Declines ODDS (%) | 18 days ago 68% | 19 days ago 80% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 82% |
| Aroon ODDS (%) | 1 day ago 66% | 1 day ago 79% |
MT and
Correlation & Price change
A.I.dvisor indicates that over the last year, MT has been loosely correlated with CLF. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if MT jumps, then CLF 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 ING. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if SCZ jumps, then ING could also see price increases.