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Outlook: Cautious Avoidance —
(SLB) is showing signs of technical weakness with a falling price trend and a weak internal diagnostic score of 3.32.Recent news points to growing momentum in the energy and construction sectors, but few directly impact Schlumberger:
Analysts show a mixed picture with a simple average rating of 4.43 and a performance-weighted rating of 3.04. The average score implies a cautious stance, while the weighted score suggests lower confidence in past predictions.
Our proprietary model assigns an internal diagnostic score of 6.84, signaling moderate fundamental strength. Here are the key metrics and their scores:
Despite strong operating metrics, some areas like ROA and cash-to-market value are weaker, balancing out the overall picture.
Big money is currently withdrawing across all size categories. The overall inflow ratio is just 49.29%, with all large to extra-large investor groups showing negative trends. This suggests a lack of conviction from institutional players, despite a modest fund-flow score of 7.75 (internal diagnostic score: good).
While retail inflows are slightly higher, the overall trend remains negative, with no major reversal signs in sight.
The technical outlook is clearly bearish, with 2 negative indicators and zero bullish signals over the last 5 days. Our internal diagnostic score for technical analysis is 3.32, which suggests caution or avoidance.
On August 6, 2025, both WR Oversold and Bearish Engulfing appeared — a rare and bearish combination. The WR Oversold pattern has been frequent in recent weeks, appearing on August 4, 6, 7, 8, and 11.
The market is in a highly volatile state, and the direction is not clear. With 2 bearish signals vs. 0 bullish, bearish momentum is clearly stronger.
Schlumberger is caught in a technical bear trap with weak momentum and bearish chart signals. While fundamentals suggest moderate long-term strength, the current price trend and sentiment among analysts and big-money players are negative. Investors are advised to wait for a clearer trend or a pullback before considering entry, and to monitor any earnings or strategic updates for new catalysts.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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