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AFL vs SIXL
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 AFL is a StrongBuy and SIXL is a Buy.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AFL’s FA Score shows that 2 FA rating(s) are green while.
- AFL’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.
AFL’s TA Score shows that 4 TA indicator(s) are bullish.
- AFL’s TA Score: 4 bullish, 4 bearish.
Price Growth
AFL (@Life/Health Insurance) experienced а +0.14% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Life/Health Insurance industry was +0.04%. For the same industry, the average monthly price growth was +0.85%, and the average quarterly price growth was +3.79%.
Reported Earning Dates
AFL is expected to report earnings on Aug 05, 2025.
Industries' Descriptions
@Life/Health Insurance (+0.04% 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.
AFL | ||
|---|---|---|
OUTLOOK RATING 1..100 | 10 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 71 Overvalued | |
PROFIT vs RISK RATING 1..100 | 2 | |
SMR RATING 1..100 | 97 | |
PRICE GROWTH RATING 1..100 | 56 | |
P/E GROWTH RATING 1..100 | 12 | |
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.
| AFL | |
|---|---|
| RSI ODDS (%) | N/A |
| Stochastic ODDS (%) | 3 days ago 71% |
| Momentum ODDS (%) | 3 days ago 65% |
| MACD ODDS (%) | 3 days ago 45% |
| TrendWeek ODDS (%) | 3 days ago 61% |
| TrendMonth ODDS (%) | 3 days ago 36% |
| Advances ODDS (%) | 6 days ago 60% |
| Declines ODDS (%) | 4 days ago 43% |
| BollingerBands ODDS (%) | 3 days ago 67% |
| Aroon ODDS (%) | 3 days ago 40% |
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AFL and
Correlation & Price change
A.I.dvisor indicates that over the last year, AFL has been closely correlated with GL. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if AFL jumps, then GL could also see price increases.
SIXL and
Correlation & Price change
A.I.dvisor indicates that over the last year, SIXL has been closely correlated with UE. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if SIXL jumps, then UE could also see price increases.
| Ticker / NAME | Correlation To SIXL | 1D Price Change % | ||
|---|---|---|---|---|
| SIXL | 100% | +0.34% | ||
| UE - SIXL | 71% Closely correlated | +1.14% | ||
| EPR - SIXL | 70% Closely correlated | +1.09% | ||
| BFS - SIXL | 69% Closely correlated | +0.62% | ||
| AFL - SIXL | 68% Closely correlated | +1.44% | ||
| MMC - SIXL | 67% Closely correlated | +0.50% | ||
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