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CMRE vs SFL
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 CMRE is a StrongBuy and SFL is a StrongBuy.
CMRE | SFL | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 87 | 91 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 19 Undervalued | 10 Undervalued | |
PROFIT vs RISK RATING 1..100 | 37 | 31 | |
SMR RATING 1..100 | 55 | 87 | |
PRICE GROWTH RATING 1..100 | 56 | 38 | |
P/E GROWTH RATING 1..100 | 26 | 5 | |
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.
SFL's Valuation (10) in the Marine Shipping industry is in the same range as CMRE (19). This means that SFL’s stock grew similarly to CMRE’s over the last 12 months.
SFL's Profit vs Risk Rating (31) in the Marine Shipping industry is in the same range as CMRE (37). This means that SFL’s stock grew similarly to CMRE’s over the last 12 months.
CMRE's SMR Rating (55) in the Marine Shipping industry is in the same range as SFL (87). This means that CMRE’s stock grew similarly to SFL’s over the last 12 months.
SFL's Price Growth Rating (38) in the Marine Shipping industry is in the same range as CMRE (56). This means that SFL’s stock grew similarly to CMRE’s over the last 12 months.
SFL's P/E Growth Rating (5) in the Marine Shipping industry is in the same range as CMRE (26). This means that SFL’s stock grew similarly to CMRE’s over the last 12 months.
| CMRE | SFL | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 51% |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 68% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 68% | 2 days ago 68% |
| TrendWeek ODDS (%) | 2 days ago 70% | 2 days ago 61% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 65% |
| Advances ODDS (%) | 8 days ago 71% | 9 days ago 66% |
| Declines ODDS (%) | 2 days ago 66% | 3 days ago 57% |
| BollingerBands ODDS (%) | 2 days ago 76% | 2 days ago 56% |
| Aroon ODDS (%) | N/A | 2 days ago 66% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CMRE’s FA Score shows that 2 FA rating(s) are green while SFL’s FA Score has 3 green FA rating(s).
- CMRE’s FA Score: 2 green, 3 red.
- SFL’s FA Score: 3 green, 2 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.
CMRE’s TA Score shows that 3 TA indicator(s) are bullish while SFL’s TA Score has 4 bullish TA indicator(s).
- CMRE’s TA Score: 3 bullish, 5 bearish.
- SFL’s TA Score: 4 bullish, 4 bearish.
Price Growth
CMRE (@Marine Shipping) experienced а -4.62% price change this week, while SFL (@Marine Shipping) price change was -5.60% for the same time period.
The average weekly price growth across all stocks in the @Marine Shipping industry was -6.25%. For the same industry, the average monthly price growth was -2.37%, and the average quarterly price growth was +17.33%.
Reported Earning Dates
CMRE is expected to report earnings on Nov 04, 2026.
SFL is expected to report earnings on Nov 11, 2026.
Industries' Descriptions
@Marine Shipping (-6.25% weekly)The marine shipping industry provides passenger transportation or cargo shipping services via waterways. This industry includes freight towage, ferry services and warehousing on deep-sea and inland waterways. The aviation sector may have reduced the popularity of sea travel for several passengers, but it is still in demand for short trips and pleasure cruises. Teekay Offshore Partners L.P. Cum Red Perp Pfd., Kirby Corporation and Seaspan Corporation are some of the well-known names in the business.
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|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DTAN | 33.15 | N/A | N/A |
| Sparkline International Intangible Value ETF (DTAN) | |||
| NUMI | 23.81 | -0.02 | -0.08% |
| Nuveen Municipal Income ETF (NUMI) | |||
| TAXX | 49.95 | -0.07 | -0.14% |
| BondBloxx IR+M Tax-Aware Short Duration ETF (TAXX) | |||
| QLC | 91.28 | -0.24 | -0.26% |
| Northern Trust US Quality Large Cap ETF (QLC) | |||
| IPB | 25.02 | -0.40 | -1.57% |
| Merrill Lynch Depositor | |||
CMRE and
Correlation & Price change
A.I.dvisor indicates that over the last year, CMRE has been closely correlated with GSL. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if CMRE jumps, then GSL could also see price increases.
| Ticker / NAME | Correlation To CMRE | 1D Price Change % | ||
|---|---|---|---|---|
| CMRE | 100% | -0.14% | ||
| GSL - CMRE | 75% Closely correlated | -0.97% | ||
| DAC - CMRE | 69% Closely correlated | +0.16% | ||
| SB - CMRE | 64% Loosely correlated | -1.43% | ||
| NMM - CMRE | 62% Loosely correlated | +2.49% | ||
| SBLK - CMRE | 58% Loosely correlated | -1.64% | ||
More | ||||
SFL and
Correlation & Price change
A.I.dvisor indicates that over the last year, SFL has been loosely correlated with ASC. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if SFL jumps, then ASC could also see price increases.
| Ticker / NAME | Correlation To SFL | 1D Price Change % | ||
|---|---|---|---|---|
| SFL | 100% | +2.04% | ||
| ASC - SFL | 62% Loosely correlated | +1.25% | ||
| HAFN - SFL | 60% Loosely correlated | -1.98% | ||
| ECO - SFL | 57% Loosely correlated | +0.24% | ||
| CMRE - SFL | 54% Loosely correlated | -0.14% | ||
| GSL - SFL | 51% Loosely correlated | -0.97% | ||
More | ||||