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Takeaway:
is currently facing a weak technical outlook with bearish signals outweighing the neutral or positive ones, while recent analyst ratings and fundamental scores suggest a more balanced, though cautious, view.Recent news has been mixed, with several energy industry developments potentially impacting the broader sector:
The consensus among recent analysts is cautiously optimistic, with a simple average rating of 5.00 and a performance-weighted rating of 4.75. These scores are somewhat aligned with the stock’s recent price trend, which has risen by 0.39% over the past few days.
Analyst James West of Melius Research gave a "Strong Buy" rating on August 20, 2025, with a historical accuracy of 100% over one prediction. The overall rating consistency is high, indicating strong alignment among analysts.
On the fundamental side, here are the key factors and their model scores:
Despite the bearish technical signals, fund flows tell a more nuanced story. Large institutional money continues to show activity:
While inflow from large and extra-large investors is below average, small retail inflows are relatively healthy. The overall fund flow score is 7.33, which is considered good. This suggests that while institutional investors are cautious, small investors remain engaged, perhaps viewing the stock as a potential rebound candidate.
The technical outlook for Baker Hughes is clearly bearish with no bullish indicators present and two bearish signals in the last five days:
Key insights include:
Recent indicator dates include WR Oversold on August 7, 8, 11, and 12, and Bearish Engulfing and Dividend Payable Date on August 15.
Baker Hughes faces a mixed outlook with bearish technical signals and weak momentum, but strong inflow from retail investors and cautiously optimistic analyst ratings. Given the technical score of 3.16 and the clearly bearish trend, it may be wise to avoid entering long positions at this time. However, traders might want to monitor upcoming earnings or major news that could offer a clearer path forward.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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