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).
AFRAF’s FA Score shows that 1 FA rating(s) are green whileAIRYY’s FA Score has 0 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.
AFRAF’s TA Score shows that 3 TA indicator(s) are bullish while AIRYY’s TA Score has 3 bullish TA indicator(s).
AFRAF (@Airlines) experienced а -3.55% price change this week, while AIRYY (@Airlines) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Airlines industry was +4.70%. For the same industry, the average monthly price growth was +3.85%, and the average quarterly price growth was +13.09%.
AIRYY is expected to report earnings on Mar 26, 2025.
Airlines industry comprises passenger air transportation, including scheduled and non-scheduled routes. This can include charter airlines, as well as regular commuter ones. Discount pricing and the rise of low-cost carriers over recent decades have expanded the industry by making its services accessible to a much larger global population, compared to the older days when airline travel was a relative luxury for many people in the world. Delta Air Lines Inc., Southwest Airlines Co and United Continental Holdings, Inc. are some of the airlines with the largest stock market capitalizations in the U.S.
AFRAF | AIRYY | AFRAF / AIRYY | |
Capitalization | 2.22B | 17.1B | 13% |
EBITDA | 4.1B | 4.94B | 83% |
Gain YTD | -44.205 | -1.351 | 3,271% |
P/E Ratio | 6.61 | 312.45 | 2% |
Revenue | 31B | 164B | 19% |
Total Cash | 5.71B | 21.9B | 26% |
Total Debt | 12.1B | 232B | 5% |
AFRAF | AIRYY | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 92 | 23 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 58 Fair valued | 93 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 98 | 90 | |
PRICE GROWTH RATING 1..100 | 63 | 39 | |
P/E GROWTH RATING 1..100 | 8 | 77 | |
SEASONALITY SCORE 1..100 | 40 | 50 |
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.
AFRAF's Valuation (58) in the null industry is somewhat better than the same rating for AIRYY (93). This means that AFRAF’s stock grew somewhat faster than AIRYY’s over the last 12 months.
AFRAF's Profit vs Risk Rating (100) in the null industry is in the same range as AIRYY (100). This means that AFRAF’s stock grew similarly to AIRYY’s over the last 12 months.
AIRYY's SMR Rating (90) in the null industry is in the same range as AFRAF (98). This means that AIRYY’s stock grew similarly to AFRAF’s over the last 12 months.
AIRYY's Price Growth Rating (39) in the null industry is in the same range as AFRAF (63). This means that AIRYY’s stock grew similarly to AFRAF’s over the last 12 months.
AFRAF's P/E Growth Rating (8) in the null industry is significantly better than the same rating for AIRYY (77). This means that AFRAF’s stock grew significantly faster than AIRYY’s over the last 12 months.
AFRAF | AIRYY | |
---|---|---|
RSI ODDS (%) | 1 day ago71% | 1 day ago62% |
Stochastic ODDS (%) | 1 day ago57% | 1 day ago59% |
Momentum ODDS (%) | 1 day ago62% | 1 day ago58% |
MACD ODDS (%) | 1 day ago62% | 1 day ago69% |
TrendWeek ODDS (%) | 1 day ago65% | 1 day ago55% |
TrendMonth ODDS (%) | 1 day ago57% | 1 day ago54% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 1 day ago70% | 1 day ago74% |
Aroon ODDS (%) | 1 day ago40% | 1 day ago55% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
PBQAX | 24.75 | 0.05 | +0.20% |
PGIM Jennison Blend A | |||
NRDGX | 21.41 | 0.02 | +0.09% |
Neuberger Berman Dividend Growth R6 | |||
CAMWX | 28.10 | 0.01 | +0.04% |
Cambiar Opportunity Inst | |||
GQEPX | 23.22 | 0.01 | +0.04% |
GQG Partners US Select Quality Eq Inv | |||
RERFX | 54.18 | -0.08 | -0.15% |
American Funds Europacific Growth R5 |
A.I.dvisor tells us that AFRAF and AGZNF have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AFRAF and AGZNF's prices will move in lockstep.
Ticker / NAME | Correlation To AFRAF | 1D Price Change % | ||
---|---|---|---|---|
AFRAF | 100% | N/A | ||
AGZNF - AFRAF | 14% Poorly correlated | N/A | ||
ANZLY - AFRAF | 4% Poorly correlated | N/A | ||
AICAF - AFRAF | 3% Poorly correlated | N/A | ||
AIRYY - AFRAF | 2% Poorly correlated | N/A | ||
ALNPY - AFRAF | -2% Poorly correlated | -2.69% | ||
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A.I.dvisor tells us that AIRYY and AICAF have been poorly correlated (+13% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AIRYY and AICAF's prices will move in lockstep.
Ticker / NAME | Correlation To AIRYY | 1D Price Change % | ||
---|---|---|---|---|
AIRYY | 100% | N/A | ||
AICAF - AIRYY | 13% Poorly correlated | N/A | ||
ANZLY - AIRYY | 6% Poorly correlated | N/A | ||
LUV - AIRYY | 5% Poorly correlated | +0.06% | ||
AFRAF - AIRYY | 2% Poorly correlated | N/A | ||
AIABF - AIRYY | 1% Poorly correlated | N/A | ||
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