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Headline Takeaway:
(BKR) is showing a negative price trend (-1.11%) despite some bullish technical indicators and mixed analyst opinions.Recent news points to a broader energy and equipment focus:
Baker Hughes has seen a range of analyst ratings over the last 20 days, with a simple average rating of 3.89 and a performance-weighted rating of 2.18. This indicates a relatively neutral stance among analysts but with a weaker performance tilt.
There’s notable dispersion in analyst sentiment, with ratings ranging from “Underperform” to “Strong Buy.” The highest-rated analyst was David Anderson (Barclays) with a 57.1% historical win rate, while Tom Curran (Seaport Global) had a 0.0% win rate.
Analyst sentiment is misaligned with the recent price trend, which shows a decline of -1.11%—a sign of cautious market behavior.
Key fundamental values and internal diagnostic scores (0-10):
These fundamentals suggest modest profit growth but a high valuation and weak liquidity.
Baker Hughes has seen negative flow patterns across all investor sizes in the last 5 days:
With an overall flow ratio of -40.30%, this suggests a broad-based selling pressure. The stock has an internal diagnostic fund-flow score of 7.25, indicating it is in the “good” range for big-money activity.
Baker Hughes’ technical picture shows mixed signals, with one bullish and two bearish indicators over the last 5 days:
Recent chart activity:
Overall, the technical trend is weak, with mixed momentum and unclear direction, as noted by our model. Internal diagnostic technical score: 3.06.
Actionable Takeaway: Given the mixed technical signals and divergent analyst views, Baker Hughes is showing a cautious profile. Investors should consider waiting for clearer momentum signals or monitor the stock for a pullback before committing capital. With an overall internal diagnostic score of 3.06 and a recent price decline, it may be best to hold off unless a stronger bullish pattern emerges.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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