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Takeaway: Aflac’s technical profile shows clear bearish signals with an internal diagnostic score of 3.45, while fundamentals score 7.14 and show mixed momentum. Recent price trends show a modest rise (0.33%), but analysts are split, with a simple average rating of 2.80 and a performance-weighted score of 3.27.
Analysts show a mixed outlook with a simple average rating of 2.80 and a performance-weighted rating of 3.27. Ratings are not consistent, with five active analysts—four recommending "Neutral" and one "Sell." The "Sell" comes from
ISI Group, a firm with a weak historical record (33.3% win rate).On the fundamental side, Aflac scores 7.14 on internal diagnostics, with several key metrics:
While revenue growth and NPM look strong, ROA and ROE remain modest. The disparity between fundamentals and technical signals suggests caution.
Big money and retail flows are both positive, with the fund-flow score of 8.2 (excellent). Inflows are widespread across all size categories:
This suggests a broad-based accumulation in the stock, though it should be viewed in light of weak technical signals.
Technically, Aflac is showing a bearish bias with an internal diagnostic score of 3.45. Three bearish indicators (WR Overbought, RSI Overbought, and Dividend Payable Date) dominate recent signals:
Recent chart patterns include:
The overall technical trend is weak, with 3 bearish vs 0 bullish signals in the last five days, and a volatile, unclear direction.
Aflac’s fundamentals remain solid with a 7.14 internal score, but its technical profile raises red flags. With a fund-flow score of 8.2 and broad inflows, there is some support from market players. However, the recent bearish indicators—including overbought WR and RSI—suggest caution.
Actionable takeaway: Investors may want to wait for a clearer trend before committing, especially given the technical headwinds. Monitor the next earnings report and any follow-up analyst ratings for potential turning points.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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