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Johnson & Johnson (JNJ) is showing a current price rise of 4.23%, with a mixed market sentiment reflected in analyst ratings and internal technical signals that suggest caution for short-term traders.
Analysts remain generally positive about JNJ, with a simple average rating of 3.43 and a performance-weighted average of 4.14. While not a strong consensus, the ratings are aligned with the recent price rise, suggesting market expectations are cautiously optimistic.
Key fundamental factors show strength, particularly in profitability and asset efficiency:
These mixed signals highlight solid operational performance but also potential inefficiencies in asset management and tax burden.
Despite some mixed fundamentals, fund flow data indicates positive inflows across the board. Large and extra-large investors are showing slightly more caution (negative trend in Large flows), but overall inflow ratios remain strong at 50.05%:
With an internal fund-flow score of 7.78 (good), big-money investors appear to be more confident in JNJ’s direction compared to the general retail market.
Technical indicators paint a bearish picture for JNJ, with 2 bearish signals vs. 0 bullish, and neutral indicators unable to offset the negative momentum. Here’s a breakdown of key signals:
Over the last 5 days (as of 2025-08-20), key chart patterns include repeated WR Overbought signals on multiple days, with RSI Overbought emerging as a fresh concern on 2025-08-15. Technical indicators suggest a weak overall trend, advising investors to avoid or monitor closely.
Johnson & Johnson is sitting on strong fundamentals, with a proprietary model score of 8.32, but is facing bearish technical signals and a volatile price trend. With institutional inflows still positive and analyst ratings leaning toward optimism, the key takeaway for investors is to wait for a clearer technical setup or a pull-back before considering a long position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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