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).
WOR’s FA Score shows that 2 FA rating(s) are green while.
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.
GFF’s TA Score shows that 4 TA indicator(s) are bullish while WOR’s TA Score has 4 bullish TA indicator(s).
WOR (@Metal Fabrication) experienced а -4.48% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Metal Fabrication industry was +0.05%. For the same industry, the average monthly price growth was +6.43%, and the average quarterly price growth was -1.30%.
WOR is expected to report earnings on Dec 18, 2024.
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.
GFF | WOR | GFF / WOR | |
Capitalization | 3.63B | 2.08B | 174% |
EBITDA | 270M | 156M | 173% |
Gain YTD | 9.987 | -31.170 | -32% |
P/E Ratio | 53.09 | 64.70 | 82% |
Revenue | 2.68B | 1.25B | 215% |
Total Cash | 111M | N/A | - |
Total Debt | 1.63B | 317M | 513% |
GFF | WOR | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 79 | 2 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 75 Overvalued | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 8 | 43 | |
SMR RATING 1..100 | 16 | 75 | |
PRICE GROWTH RATING 1..100 | 43 | 61 | |
P/E GROWTH RATING 1..100 | 91 | 3 | |
SEASONALITY SCORE 1..100 | 50 | 95 |
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 (29) in the Steel industry is somewhat better than the same rating for GFF (75) in the Building Products industry. This means that WOR’s stock grew somewhat faster than GFF’s over the last 12 months.
GFF's Profit vs Risk Rating (8) in the Building Products industry is somewhat better than the same rating for WOR (43) in the Steel industry. This means that GFF’s stock grew somewhat faster than WOR’s over the last 12 months.
GFF's SMR Rating (16) in the Building Products industry is somewhat better than the same rating for WOR (75) in the Steel industry. This means that GFF’s stock grew somewhat faster than WOR’s over the last 12 months.
GFF's Price Growth Rating (43) in the Building Products industry is in the same range as WOR (61) in the Steel industry. This means that GFF’s stock grew similarly to WOR’s over the last 12 months.
WOR's P/E Growth Rating (3) in the Steel industry is significantly better than the same rating for GFF (91) in the Building Products industry. This means that WOR’s stock grew significantly faster than GFF’s over the last 12 months.
GFF | WOR | |
---|---|---|
RSI ODDS (%) | 2 days ago71% | 2 days ago69% |
Stochastic ODDS (%) | 2 days ago60% | 2 days ago79% |
Momentum ODDS (%) | 2 days ago73% | 2 days ago65% |
MACD ODDS (%) | 2 days ago70% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago78% | 2 days ago68% |
TrendMonth ODDS (%) | 2 days ago78% | 2 days ago68% |
Advances ODDS (%) | 11 days ago74% | 11 days ago73% |
Declines ODDS (%) | 3 days ago62% | 2 days ago66% |
BollingerBands ODDS (%) | 2 days ago73% | 2 days ago84% |
Aroon ODDS (%) | 2 days ago79% | 2 days ago59% |
A.I.dvisor indicates that over the last year, GFF has been loosely correlated with MLI. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if GFF jumps, then MLI could also see price increases.
Ticker / NAME | Correlation To GFF | 1D Price Change % | ||
---|---|---|---|---|
GFF | 100% | -2.96% | ||
MLI - GFF | 44% Loosely correlated | -1.45% | ||
IIIN - GFF | 43% Loosely correlated | -0.75% | ||
CRS - GFF | 41% Loosely correlated | +0.28% | ||
WOR - GFF | 41% Loosely correlated | -0.88% | ||
HAYN - GFF | 40% Loosely correlated | +0.12% | ||
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A.I.dvisor indicates that over the last year, WOR has been loosely correlated with MLI. 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 MLI could also see price increases.
Ticker / NAME | Correlation To WOR | 1D Price Change % | ||
---|---|---|---|---|
WOR | 100% | -0.88% | ||
MLI - WOR | 57% Loosely correlated | -1.45% | ||
IIIN - WOR | 56% Loosely correlated | -0.75% | ||
STLD - WOR | 51% Loosely correlated | -1.32% | ||
MTUS - WOR | 50% Loosely correlated | +0.90% | ||
CMC - WOR | 48% Loosely correlated | +0.74% | ||
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