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).
AAVMY’s FA Score shows that 2 FA rating(s) are green whileSCBFF’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.
AAVMY’s TA Score shows that 4 TA indicator(s) are bullish.
AAVMY (@Major Banks) experienced а -4.55% price change this week, while SCBFF (@Major Banks) price change was -4.58% for the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was -0.47%. For the same industry, the average monthly price growth was +0.78%, and the average quarterly price growth was +8.32%.
SCBFF is expected to report earnings on Feb 21, 2025.
Major banks are among the biggest companies in the world, often times with global reach and market capitalizations in the multi-billions. Large banks often have multiple arms spanning different disciplines, from deposits, to investment banking, to wealth management and insurance. The biggest banks often have key competitive advantages over smaller players in the industry in terms of brand recognition, cost of capital, and efficiency. Think J.P. Morgan, Bank of America, Wells Fargo, and Citigroup.
AAVMY | SCBFF | AAVMY / SCBFF | |
Capitalization | 14.8B | 26.8B | 55% |
EBITDA | N/A | N/A | - |
Gain YTD | 18.725 | 41.927 | 45% |
P/E Ratio | 6.82 | 9.82 | 69% |
Revenue | 7.99B | 17.1B | 47% |
Total Cash | N/A | N/A | - |
Total Debt | 65.2B | 93.9B | 69% |
SCBFF | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 12 Undervalued | |
PROFIT vs RISK RATING 1..100 | 46 | |
SMR RATING 1..100 | 6 | |
PRICE GROWTH RATING 1..100 | 40 | |
P/E GROWTH RATING 1..100 | 74 | |
SEASONALITY SCORE 1..100 | n/a |
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.
AAVMY | |
---|---|
RSI ODDS (%) | 3 days ago77% |
Stochastic ODDS (%) | 3 days ago71% |
Momentum ODDS (%) | 3 days ago65% |
MACD ODDS (%) | 3 days ago53% |
TrendWeek ODDS (%) | 3 days ago64% |
TrendMonth ODDS (%) | 3 days ago63% |
Advances ODDS (%) | 14 days ago66% |
Declines ODDS (%) | 3 days ago68% |
BollingerBands ODDS (%) | 3 days ago83% |
Aroon ODDS (%) | 3 days ago53% |
1 Day | |||
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A.I.dvisor indicates that over the last year, AAVMY has been loosely correlated with ING. These tickers have moved in lockstep 58% of the time. This A.I.-generated data suggests there is some statistical probability that if AAVMY jumps, then ING could also see price increases.
Ticker / NAME | Correlation To AAVMY | 1D Price Change % | ||
---|---|---|---|---|
AAVMY | 100% | -0.03% | ||
ING - AAVMY | 58% Loosely correlated | +1.68% | ||
SAN - AAVMY | 44% Loosely correlated | +2.55% | ||
BCS - AAVMY | 42% Loosely correlated | +1.93% | ||
SCBFY - AAVMY | 42% Loosely correlated | +0.72% | ||
MUFG - AAVMY | 37% Loosely correlated | -3.23% | ||
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A.I.dvisor indicates that over the last year, SCBFF has been loosely correlated with SCBFY. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if SCBFF jumps, then SCBFY could also see price increases.
Ticker / NAME | Correlation To SCBFF | 1D Price Change % | ||
---|---|---|---|---|
SCBFF | 100% | -4.58% | ||
SCBFY - SCBFF | 34% Loosely correlated | +0.72% | ||
AAVMY - SCBFF | 20% Poorly correlated | -0.03% | ||
NABZY - SCBFF | 10% Poorly correlated | +0.54% | ||
IDCBY - SCBFF | 9% Poorly correlated | -0.20% | ||
NAUBF - SCBFF | 8% Poorly correlated | N/A | ||
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