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DK vs WS
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 DK is a Buy and WS 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).
DK’s FA Score shows that 1 FA rating(s) are green whileWS’s FA Score has 2 green FA rating(s).
- DK’s FA Score: 1 green, 4 red.
- WS’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.
DK’s TA Score shows that 2 TA indicator(s) are bullish while WS’s TA Score has 3 bullish TA indicator(s).
- DK’s TA Score: 2 bullish, 4 bearish.
- WS’s TA Score: 3 bullish, 5 bearish.
Price Growth
DK (@Oil Refining/Marketing) experienced а -7.74% price change this week, while WS (@Steel) price change was +0.66% for the same time period.
The average weekly price growth across all stocks in the @Oil Refining/Marketing industry was -3.69%. For the same industry, the average monthly price growth was -5.75%, and the average quarterly price growth was +19.19%.
The average weekly price growth across all stocks in the @Steel industry was +4.90%. For the same industry, the average monthly price growth was +134.75%, and the average quarterly price growth was +14.33%.
Reported Earning Dates
DK is expected to report earnings on Aug 11, 2026.
WS is expected to report earnings on Jun 24, 2026.
Industries' Descriptions
@Oil Refining/Marketing (-3.69% weekly)The Oil Refining/Marketing segment includes companies that refine crude oil into a number of petroleum products, including gasoline, jet fuel and diesel, and then sell the usable products to the end users. These companies are involved in what’s called downstream operations in the oil business. They also engage in the marketing and distribution of crude oil and natural gas products. In other words, the downstream oil and gas business is focused on post-production processes of crude oil and natural gas. When oil prices slump, downstream businesses are hurt less or in some cases even benefit, since their purchase cost of crude oil goes down. Some of the biggest U.S. oil refining/marketing companies include Phillips 66, Marathon Petroleum Corporation and Valero Energy Corp.
@Steel (+4.90% 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.
| DK | WS | DK / WS | |
| Capitalization | 2.74B | 2.12B | 129% |
| EBITDA | 730M | 256M | 285% |
| Gain YTD | 52.661 | 21.461 | 245% |
| P/E Ratio | 93.07 | 17.37 | 536% |
| Revenue | 10.7B | 3.35B | 320% |
| Total Cash | 624M | N/A | - |
| Total Debt | 3.25B | 353M | 921% |
DK | ||
|---|---|---|
OUTLOOK RATING 1..100 | 38 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 91 Overvalued | |
PROFIT vs RISK RATING 1..100 | 34 | |
SMR RATING 1..100 | 99 | |
PRICE GROWTH RATING 1..100 | 38 | |
P/E GROWTH RATING 1..100 | 1 | |
SEASONALITY SCORE 1..100 | 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.
| DK | WS | |
|---|---|---|
| RSI ODDS (%) | 8 days ago 78% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 78% | 4 days ago 80% |
| Momentum ODDS (%) | 4 days ago 78% | 4 days ago 80% |
| MACD ODDS (%) | 4 days ago 82% | 4 days ago 88% |
| TrendWeek ODDS (%) | 4 days ago 79% | 4 days ago 76% |
| TrendMonth ODDS (%) | 4 days ago 77% | 4 days ago 74% |
| Advances ODDS (%) | 8 days ago 80% | 4 days ago 75% |
| Declines ODDS (%) | 26 days ago 82% | 28 days ago 72% |
| BollingerBands ODDS (%) | N/A | 4 days ago 81% |
| Aroon ODDS (%) | N/A | 4 days ago 76% |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DECO | 80.67 | 2.07 | +2.64% |
| State Street® Galaxy Dgtl Ast Ecosys ETF | |||
| DRUP | 62.23 | 1.02 | +1.67% |
| GraniteShares Nasdaq Sel Disruptors ETF | |||
| IBTI | 22.14 | 0.01 | +0.05% |
| iShares iBonds Dec 2028 Term Treasury ETF | |||
| USNZ | 46.64 | N/A | N/A |
| Xtrackers Net Zero Pwy Par Alg US Eq ETF | |||
| KBAB | 7.53 | -0.02 | -0.30% |
| KraneShares 2x Long BABA Daily ETF | |||
DK and
Correlation & Price change
A.I.dvisor indicates that over the last year, DK has been closely correlated with PARR. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if DK jumps, then PARR could also see price increases.
WS and
Correlation & Price change
A.I.dvisor indicates that over the last year, WS has been loosely correlated with CMC. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if WS jumps, then CMC could also see price increases.