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Jabil (JBL) is in a weak technical position, with bearish signals dominating the near-term outlook — our internal diagnostic score is just 1.0, suggesting investors should avoid the stock for now.
Jabil is currently split in terms of analyst sentiment. The simple average analyst rating is 4.50, while the performance-weighted rating is 3.94. Despite some bullish calls (including a "Strong Buy" from Stifel), there is significant dispersion in the ratings — one analyst has a poor historical win rate of 0.0%, while another from JP Morgan has a 60.0% success rate in recent 20-day predictions.
Analyst views are at odds with the recent price movement, which has fallen by -7.46%. This mismatch indicates market uncertainty and lack of consensus.
Big money is moving cautiously. The overall fund flow ratio is 0.46, with block investors showing a negative trend (internal diagnostic score: 7.66). Notably, even small retail investors are showing a negative trend, with inflow ratios dipping below 0.48 across all categories. This suggests broad-based caution, with both institutional and retail investors reducing exposure.
The technical outlook is clearly bearish. With 4 bearish signals and no bullish ones in the last five days, the stock is trending downward. Key bearish indicators include:
These signals have shown historically poor performance, with average returns of -1.53% for dividend-related triggers and -0.56% for Bearish Engulfing patterns. Over the past five days (as of 2025-08-22), bearish signals have occurred consistently, especially on 2025-08-13 (Bearish Engulfing), 2025-08-15 (WR Oversold, Ex-Dividend, Dividend Record), and again on 2025-08-18 and 2025-08-19 (WR Oversold).
Overall, the technical side is weak, and it is suggested to avoid it — this is a clear warning from the model.
Given the weak technical indicators, mixed analyst sentiment, and negative fund-flow patterns, it’s best to consider waiting for a clearer trend or a potential pullback before considering an entry. Investors may want to monitor Jabil’s next earnings report or look for signs of stabilization in its technical indicators before making a move.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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