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).
SSAAF’s FA Score shows that 1 FA rating(s) are green whileSZGPF’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.
SSAAF’s TA Score shows that 4 TA indicator(s) are bullish while SZGPF’s TA Score has 2 bullish TA indicator(s).
SSAAF (@Steel) experienced а -5.95% price change this week, while SZGPF (@Steel) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Steel industry was -3.74%. For the same industry, the average monthly price growth was -6.49%, and the average quarterly price growth was -5.95%.
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.
SSAAF | SZGPF | SSAAF / SZGPF | |
Capitalization | 3.92B | 880M | 446% |
EBITDA | 14.9B | 462M | 3,225% |
Gain YTD | -20.503 | -47.100 | 44% |
P/E Ratio | 5.75 | 49.74 | 12% |
Revenue | 103B | 10.1B | 1,020% |
Total Cash | 23.2B | 582M | 3,986% |
Total Debt | 9.59B | N/A | - |
SSAAF | SZGPF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 91 | 41 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 2 Undervalued | 12 Undervalued | |
PROFIT vs RISK RATING 1..100 | 79 | 93 | |
SMR RATING 1..100 | 63 | 91 | |
PRICE GROWTH RATING 1..100 | 83 | 75 | |
P/E GROWTH RATING 1..100 | 55 | 2 | |
SEASONALITY SCORE 1..100 | 75 | 65 |
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.
SSAAF's Valuation (2) in the null industry is in the same range as SZGPF (12). This means that SSAAF’s stock grew similarly to SZGPF’s over the last 12 months.
SSAAF's Profit vs Risk Rating (79) in the null industry is in the same range as SZGPF (93). This means that SSAAF’s stock grew similarly to SZGPF’s over the last 12 months.
SSAAF's SMR Rating (63) in the null industry is in the same range as SZGPF (91). This means that SSAAF’s stock grew similarly to SZGPF’s over the last 12 months.
SZGPF's Price Growth Rating (75) in the null industry is in the same range as SSAAF (83). This means that SZGPF’s stock grew similarly to SSAAF’s over the last 12 months.
SZGPF's P/E Growth Rating (2) in the null industry is somewhat better than the same rating for SSAAF (55). This means that SZGPF’s stock grew somewhat faster than SSAAF’s over the last 12 months.
SSAAF | SZGPF | |
---|---|---|
RSI ODDS (%) | 2 days ago59% | N/A |
Stochastic ODDS (%) | 2 days ago51% | 3 days ago9% |
Momentum ODDS (%) | 2 days ago43% | 7 days ago33% |
MACD ODDS (%) | 2 days ago43% | N/A |
TrendWeek ODDS (%) | 2 days ago46% | 2 days ago15% |
TrendMonth ODDS (%) | 2 days ago38% | 2 days ago14% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | 6 days ago44% | N/A |
BollingerBands ODDS (%) | 2 days ago62% | N/A |
Aroon ODDS (%) | 2 days ago45% | N/A |
A.I.dvisor tells us that SSAAF and ANIOY have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SSAAF and ANIOY's prices will move in lockstep.
Ticker / NAME | Correlation To SSAAF | 1D Price Change % | ||
---|---|---|---|---|
SSAAF | 100% | N/A | ||
ANIOY - SSAAF | 21% Poorly correlated | N/A | ||
SSAAY - SSAAF | 12% Poorly correlated | N/A | ||
NPSCY - SSAAF | 8% Poorly correlated | +1.42% | ||
SZGPY - SSAAF | 4% Poorly correlated | N/A | ||
NISTF - SSAAF | 3% Poorly correlated | +11.51% | ||
More |
A.I.dvisor tells us that SZGPF and NISTF have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SZGPF and NISTF's prices will move in lockstep.
Ticker / NAME | Correlation To SZGPF | 1D Price Change % | ||
---|---|---|---|---|
SZGPF | 100% | N/A | ||
NISTF - SZGPF | 20% Poorly correlated | +11.51% | ||
SZGPY - SZGPF | 5% Poorly correlated | N/A | ||
OUTKY - SZGPF | 0% Poorly correlated | -6.42% | ||
OUTFF - SZGPF | -0% Poorly correlated | N/A | ||
SSAAF - SZGPF | -1% Poorly correlated | N/A | ||
More |