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MET vs XLF
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 MET is a StrongBuy and XLF is a StrongBuy.
MET | ||
|---|---|---|
OUTLOOK RATING 1..100 | 84 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 39 Fair valued | |
PROFIT vs RISK RATING 1..100 | 26 | |
SMR RATING 1..100 | 99 | |
PRICE GROWTH RATING 1..100 | 41 | |
P/E GROWTH RATING 1..100 | 17 | |
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.
| MET | XLF | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 48% | 2 days ago 80% |
| Stochastic ODDS (%) | 2 days ago 57% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 54% | 2 days ago 73% |
| MACD ODDS (%) | 3 days ago 49% | 4 days ago 67% |
| TrendWeek ODDS (%) | 2 days ago 55% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 53% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 66% | 10 days ago 86% |
| Declines ODDS (%) | 5 days ago 52% | 3 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 60% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 79% |
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).
MET’s FA Score shows that 2 FA rating(s) are green while .
- MET’s FA Score: 2 green, 3 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.
MET’s TA Score shows that 3 TA indicator(s) are bullish.
- MET’s TA Score: 3 bullish, 5 bearish.
Price Growth
MET (@Life/Health Insurance) experienced а -0.49% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Life/Health Insurance industry was -2.54%. For the same industry, the average monthly price growth was -1.62%, and the average quarterly price growth was +9.58%.
Reported Earning Dates
MET is expected to report earnings on Nov 04, 2026.
Industries' Descriptions
@Life/Health Insurance (-2.54% weekly)Life insurance companies mainly sell policies that pay a death benefit as a lump sum upon the death of the insured to their beneficiaries. Life insurance policies may be sold as term life, (which guarantees payment of a stated death benefit and expires at the end of a specified term) or permanent /typically whole life (which is more expensive but lasts a lifetime and carries a cash accumulation component). Life insurance firms may also sell long-term disability policies that help to replace the insured individual’s income if they become sick or disabled. Health insurance, on the other hand, helps pay for medical expenses. Anthem, Inc., MetLife, Inc. and Aflac Incorporated are some of the largest U.S. companies in this industry.
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XLF and
Correlation & Price change
A.I.dvisor indicates that over the last year, XLF has been closely correlated with BAC. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLF jumps, then BAC could also see price increases.