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).
MTUS’s FA Score shows that 0 FA rating(s) are green whileWOR’s FA Score has 2 green FA rating(s).
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.
MTUS’s TA Score shows that 5 TA indicator(s) are bullish while WOR’s TA Score has 4 bullish TA indicator(s).
MTUS (@Steel) experienced а -7.77% price change this week, while WOR (@Metal Fabrication) price change was -5.50% for the same time period.
The average weekly price growth across all stocks in the @Steel industry was -2.56%. For the same industry, the average monthly price growth was +0.98%, and the average quarterly price growth was -6.23%.
The average weekly price growth across all stocks in the @Metal Fabrication industry was -5.60%. For the same industry, the average monthly price growth was -0.41%, and the average quarterly price growth was -1.95%.
MTUS is expected to report earnings on Feb 20, 2025.
WOR is expected to report earnings on Dec 18, 2024.
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.
@Metal Fabrication (-5.60% weekly)The industry is involved in value-added processes including creation of metal structures like machines and parts by cutting, bending and assembling, using various raw materials. A fabrication shop often bids on a project/job, and then builds the product if awarded the contract. Robotics and automation are making their way into the industry apparently to fill in skills gap[s19] . RBC Bearings Incorporated, Timken Company and Valmont Industries, Inc. are some of the largest metal fabrication companies in the U.S.
MTUS | WOR | MTUS / WOR | |
Capitalization | 616M | 2.01B | 31% |
EBITDA | 132M | 134M | 99% |
Gain YTD | -38.209 | -29.714 | 129% |
P/E Ratio | 27.34 | 62.61 | 44% |
Revenue | 1.3B | 1.19B | 109% |
Total Cash | 273M | 179M | 153% |
Total Debt | 23.3M | 328M | 7% |
MTUS | WOR | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 75 | 83 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 82 Overvalued | 28 Undervalued | |
PROFIT vs RISK RATING 1..100 | 49 | 43 | |
SMR RATING 1..100 | 75 | 83 | |
PRICE GROWTH RATING 1..100 | 79 | 62 | |
P/E GROWTH RATING 1..100 | 54 | 3 | |
SEASONALITY SCORE 1..100 | 85 | 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.
WOR's Valuation (28) in the Steel industry is somewhat better than the same rating for MTUS (82). This means that WOR’s stock grew somewhat faster than MTUS’s over the last 12 months.
WOR's Profit vs Risk Rating (43) in the Steel industry is in the same range as MTUS (49). This means that WOR’s stock grew similarly to MTUS’s over the last 12 months.
MTUS's SMR Rating (75) in the Steel industry is in the same range as WOR (83). This means that MTUS’s stock grew similarly to WOR’s over the last 12 months.
WOR's Price Growth Rating (62) in the Steel industry is in the same range as MTUS (79). This means that WOR’s stock grew similarly to MTUS’s over the last 12 months.
WOR's P/E Growth Rating (3) in the Steel industry is somewhat better than the same rating for MTUS (54). This means that WOR’s stock grew somewhat faster than MTUS’s over the last 12 months.
MTUS | WOR | |
---|---|---|
RSI ODDS (%) | 3 days ago88% | 6 days ago73% |
Stochastic ODDS (%) | 3 days ago85% | 3 days ago70% |
Momentum ODDS (%) | 3 days ago82% | 3 days ago72% |
MACD ODDS (%) | N/A | 3 days ago59% |
TrendWeek ODDS (%) | 3 days ago77% | 3 days ago69% |
TrendMonth ODDS (%) | 3 days ago76% | 3 days ago69% |
Advances ODDS (%) | 12 days ago76% | 12 days ago73% |
Declines ODDS (%) | 3 days ago76% | 3 days ago67% |
BollingerBands ODDS (%) | 3 days ago85% | 3 days ago73% |
Aroon ODDS (%) | 3 days ago76% | 3 days ago61% |
A.I.dvisor indicates that over the last year, MTUS has been loosely correlated with ZEUS. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if MTUS jumps, then ZEUS could also see price increases.
Ticker / NAME | Correlation To MTUS | 1D Price Change % | ||
---|---|---|---|---|
MTUS | 100% | -2.03% | ||
ZEUS - MTUS | 62% Loosely correlated | +1.85% | ||
RYI - MTUS | 61% Loosely correlated | +0.94% | ||
CMC - MTUS | 61% Loosely correlated | -0.13% | ||
RS - MTUS | 58% Loosely correlated | +0.15% | ||
NUE - MTUS | 55% Loosely correlated | +0.48% | ||
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A.I.dvisor indicates that over the last year, WOR has been loosely correlated with IIIN. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if WOR jumps, then IIIN could also see price increases.
Ticker / NAME | Correlation To WOR | 1D Price Change % | ||
---|---|---|---|---|
WOR | 100% | -1.64% | ||
IIIN - WOR | 57% Loosely correlated | -0.20% | ||
MLI - WOR | 53% Loosely correlated | -1.63% | ||
STLD - WOR | 51% Loosely correlated | +1.16% | ||
MTUS - WOR | 50% Loosely correlated | -2.03% | ||
RYI - WOR | 50% Loosely correlated | +0.94% | ||
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