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APEMY vs CLF
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 APEMY is a Hold and CLF is a StrongBuy.
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).
APEMY’s FA Score shows that 1 FA rating(s) are green whileCLF’s FA Score has 1 green FA rating(s).
- APEMY’s FA Score: 1 green, 4 red.
- CLF’s FA Score: 1 green, 4 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.
APEMY’s TA Score shows that 4 TA indicator(s) are bullish while CLF’s TA Score has 5 bullish TA indicator(s).
- APEMY’s TA Score: 4 bullish, 2 bearish.
- CLF’s TA Score: 5 bullish, 5 bearish.
Price Growth
APEMY (@Steel) experienced а +5.59% price change this week, while CLF (@Steel) price change was +4.41% for the same time period.
The average weekly price growth across all stocks in the @Steel industry was +0.74%. For the same industry, the average monthly price growth was +2.90%, and the average quarterly price growth was +19.61%.
Reported Earning Dates
APEMY is expected to report earnings on Feb 06, 2026.
CLF is expected to report earnings on Feb 19, 2026.
Industries' Descriptions
@Steel (+0.74% 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.
| APEMY | CLF | APEMY / CLF | |
| Capitalization | 2.77B | 7.42B | 37% |
| EBITDA | 383M | -430M | -89% |
| Gain YTD | 64.568 | 37.181 | 174% |
| P/E Ratio | 12.60 | 145.67 | 9% |
| Revenue | 6.28B | 18.5B | 34% |
| Total Cash | N/A | 61M | - |
| Total Debt | N/A | 7.73B | - |
APEMY | CLF | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 2 Undervalued | 90 Overvalued | |
PROFIT vs RISK RATING 1..100 | 58 | 84 | |
SMR RATING 1..100 | 90 | 95 | |
PRICE GROWTH RATING 1..100 | 45 | 39 | |
P/E GROWTH RATING 1..100 | 93 | 2 | |
SEASONALITY SCORE 1..100 | 85 | 85 |
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.
APEMY's Valuation (2) in the null industry is significantly better than the same rating for CLF (90) in the Steel industry. This means that APEMY’s stock grew significantly faster than CLF’s over the last 12 months.
APEMY's Profit vs Risk Rating (58) in the null industry is in the same range as CLF (84) in the Steel industry. This means that APEMY’s stock grew similarly to CLF’s over the last 12 months.
APEMY's SMR Rating (90) in the null industry is in the same range as CLF (95) in the Steel industry. This means that APEMY’s stock grew similarly to CLF’s over the last 12 months.
CLF's Price Growth Rating (39) in the Steel industry is in the same range as APEMY (45) in the null industry. This means that CLF’s stock grew similarly to APEMY’s over the last 12 months.
CLF's P/E Growth Rating (2) in the Steel industry is significantly better than the same rating for APEMY (93) in the null industry. This means that CLF’s stock grew significantly faster than APEMY’s over the last 12 months.
| APEMY | CLF | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 54% | 7 days ago 79% |
| Stochastic ODDS (%) | 7 days ago 60% | 7 days ago 85% |
| Momentum ODDS (%) | 7 days ago 58% | 7 days ago 76% |
| MACD ODDS (%) | N/A | 7 days ago 81% |
| TrendWeek ODDS (%) | 7 days ago 57% | 7 days ago 78% |
| TrendMonth ODDS (%) | 7 days ago 51% | 7 days ago 82% |
| Advances ODDS (%) | N/A | 7 days ago 79% |
| Declines ODDS (%) | 17 days ago 64% | 24 days ago 82% |
| BollingerBands ODDS (%) | N/A | 7 days ago 83% |
| Aroon ODDS (%) | 7 days ago 63% | 7 days ago 81% |
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APEMY and
Correlation & Price change
A.I.dvisor tells us that APEMY and PKX have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that APEMY and PKX's prices will move in lockstep.
| Ticker / NAME | Correlation To APEMY | 1D Price Change % | ||
|---|---|---|---|---|
| APEMY | 100% | N/A | ||
| PKX - APEMY | 31% Poorly correlated | -0.04% | ||
| MT - APEMY | 28% Poorly correlated | +0.14% | ||
| CLF - APEMY | 22% Poorly correlated | +0.35% | ||
| OUTKY - APEMY | 21% Poorly correlated | N/A | ||
| SSAAY - APEMY | 21% Poorly correlated | N/A | ||
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CLF and
Correlation & Price change
A.I.dvisor indicates that over the last year, CLF has been closely correlated with NUE. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if CLF jumps, then NUE could also see price increases.
| Ticker / NAME | Correlation To CLF | 1D Price Change % | ||
|---|---|---|---|---|
| CLF | 100% | +0.35% | ||
| NUE - CLF | 67% Closely correlated | +0.26% | ||
| STLD - CLF | 64% Loosely correlated | -0.01% | ||
| CMC - CLF | 52% Loosely correlated | -0.80% | ||
| RS - CLF | 51% Loosely correlated | -1.53% | ||
| MTUS - CLF | 50% Loosely correlated | -1.58% | ||
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