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).
ING’s FA Score shows that 3 FA rating(s) are green whileSAN’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.
ING’s TA Score shows that 4 TA indicator(s) are bullish while SAN’s TA Score has 2 bullish TA indicator(s).
ING (@Major Banks) experienced а -1.42% price change this week, while SAN (@Major Banks) price change was -8.15% for the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was -1.31%. For the same industry, the average monthly price growth was -1.10%, and the average quarterly price growth was +12.83%.
ING is expected to report earnings on Feb 06, 2025.
SAN is expected to report earnings on Feb 05, 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.
ING | SAN | ING / SAN | |
Capitalization | 54.3B | 76.7B | 71% |
EBITDA | N/A | N/A | - |
Gain YTD | 9.692 | 16.423 | 59% |
P/E Ratio | 7.46 | 6.83 | 109% |
Revenue | 22.4B | 59.9B | 37% |
Total Cash | N/A | N/A | - |
Total Debt | 150B | 311B | 48% |
ING | SAN | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 56 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 25 Undervalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 28 | 46 | |
SMR RATING 1..100 | 3 | 2 | |
PRICE GROWTH RATING 1..100 | 60 | 56 | |
P/E GROWTH RATING 1..100 | 62 | 50 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SAN's Valuation (13) in the Major Banks industry is in the same range as ING (25) in the Financial Conglomerates industry. This means that SAN’s stock grew similarly to ING’s over the last 12 months.
ING's Profit vs Risk Rating (28) in the Financial Conglomerates industry is in the same range as SAN (46) in the Major Banks industry. This means that ING’s stock grew similarly to SAN’s over the last 12 months.
SAN's SMR Rating (2) in the Major Banks industry is in the same range as ING (3) in the Financial Conglomerates industry. This means that SAN’s stock grew similarly to ING’s over the last 12 months.
SAN's Price Growth Rating (56) in the Major Banks industry is in the same range as ING (60) in the Financial Conglomerates industry. This means that SAN’s stock grew similarly to ING’s over the last 12 months.
SAN's P/E Growth Rating (50) in the Major Banks industry is in the same range as ING (62) in the Financial Conglomerates industry. This means that SAN’s stock grew similarly to ING’s over the last 12 months.
ING | SAN | |
---|---|---|
RSI ODDS (%) | 4 days ago50% | N/A |
Stochastic ODDS (%) | 4 days ago72% | 4 days ago70% |
Momentum ODDS (%) | 4 days ago63% | 4 days ago66% |
MACD ODDS (%) | 4 days ago55% | 4 days ago60% |
TrendWeek ODDS (%) | 4 days ago65% | 4 days ago65% |
TrendMonth ODDS (%) | 4 days ago63% | 4 days ago64% |
Advances ODDS (%) | 19 days ago67% | 19 days ago69% |
Declines ODDS (%) | 6 days ago65% | 4 days ago66% |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | 4 days ago55% | 4 days ago57% |
A.I.dvisor indicates that over the last year, ING has been loosely correlated with SAN. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if ING jumps, then SAN could also see price increases.
Ticker / NAME | Correlation To ING | 1D Price Change % | ||
---|---|---|---|---|
ING | 100% | -0.65% | ||
SAN - ING | 63% Loosely correlated | -0.66% | ||
AAVMY - ING | 58% Loosely correlated | +0.46% | ||
BCS - ING | 58% Loosely correlated | +1.24% | ||
BBVA - ING | 54% Loosely correlated | +0.21% | ||
SCBFY - ING | 51% Loosely correlated | -1.04% | ||
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A.I.dvisor indicates that over the last year, SAN has been closely correlated with BBVA. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if SAN jumps, then BBVA could also see price increases.
Ticker / NAME | Correlation To SAN | 1D Price Change % | ||
---|---|---|---|---|
SAN | 100% | -0.66% | ||
BBVA - SAN | 73% Closely correlated | +0.21% | ||
ING - SAN | 63% Loosely correlated | -0.65% | ||
BCS - SAN | 56% Loosely correlated | +1.24% | ||
HSBC - SAN | 45% Loosely correlated | +0.25% | ||
AAVMY - SAN | 44% Loosely correlated | +0.46% | ||
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