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Headline takeaway:
(REGN) is underperforming with bearish technical signals and mixed analyst views, making it a stock to watch with caution.Analysts are divided on Regeneron, with 6 institutions issuing ratings in the past 20 days. The simple average rating score is 4.33, while the performance-weighted score is 3.27, suggesting that historical performance weakens the overall outlook. Analysts from BMO Capital and
, for instance, have shown stronger historical accuracy than others.The price trend is currently positive, with the stock up 6.25% recently, but this doesn’t align well with the lower consensus ratings. Analysts like Yatin Suneja (Guggenheim) and Evan David Seigerman (BMO Capital) stand out for their better historical performance.
Key fundamental factors include:
Big-money and institutional flows for Regeneron are mixed. While small and medium investors are showing a positive trend (51.83% inflow ratio), large and extra-large investors are more bearish, with inflow ratios below 50%. The fund flow score is 7.42 (out of 10), suggesting that, despite institutional caution, there is still inflow from smaller players.
Technical indicators for Regeneron are overwhelmingly bearish, with 4 bearish signals versus 0 bullish ones over the last 5 days. The internal diagnostic score is 3.26, signaling weak technical health and suggesting caution.
Recent chart patterns include a MACD Golden Cross on August 15, and Bearish Engulfing patterns on August 18, both pointing to potential selling pressure. Investors are advised to closely monitor for a breakout or breakdown over the coming weeks.
Regeneron is showing mixed signals, with strong fundamentals but bearish technical and analyst trends. Given the weak technical score (3.26/10) and the dominance of bearish indicators, it’s advisable for most investors to wait for a clearer trend or consider using it only for short-term swing trading. For now, watch for further analyst upgrades or any new product developments that may shift the balance in favor of long-term holders.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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