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).
JPM’s FA Score shows that 4 FA rating(s) are green while.
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.
JPM’s TA Score shows that 6 TA indicator(s) are bullish.
JPM (@Major Banks) experienced а +2.80% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was +1.91%. For the same industry, the average monthly price growth was +4.86%, and the average quarterly price growth was +20.42%.
JPM is expected to report earnings on Jan 13, 2026.
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.
JPM | ||
|---|---|---|
OUTLOOK RATING 1..100 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 88 Overvalued | |
PROFIT vs RISK RATING 1..100 | 8 | |
SMR RATING 1..100 | 1 | |
PRICE GROWTH RATING 1..100 | 23 | |
P/E GROWTH RATING 1..100 | 24 | |
SEASONALITY SCORE 1..100 | 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.
| JPM | XLF | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 59% | 2 days ago 75% |
| Stochastic ODDS (%) | 2 days ago 53% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 72% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 60% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 63% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 60% | 2 days ago 83% |
| Advances ODDS (%) | 4 days ago 60% | 2 days ago 85% |
| Declines ODDS (%) | 10 days ago 57% | 23 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 61% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 66% | 2 days ago 84% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CFA | 90.89 | 0.26 | +0.29% |
| VictoryShares US 500 Volatility Wtd ETF | |||
| CGXU | 30.76 | 0.06 | +0.20% |
| Capital Group International Focus Eq ETF | |||
| PSTP | 35.07 | 0.01 | +0.03% |
| Innovator Power Buffer Step-Up Stgy ETF | |||
| CAFG | 25.78 | -0.01 | -0.05% |
| Pacer US Small Cap Cash Cows Gr Ldrs ETF | |||
| NMB | 25.74 | -0.10 | -0.39% |
| Simplify National Muni Bond ETF | |||
A.I.dvisor indicates that over the last year, JPM has been closely correlated with BAC. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if JPM jumps, then BAC could also see price increases.
A.I.dvisor indicates that over the last year, XLF has been closely correlated with JPM. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLF jumps, then JPM could also see price increases.