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Takeaway:
is currently in a volatile, directionless technical state with bearish signals dominating the chart. The stock has seen a recent price rise of 10.63%, but internal diagnostic scores point to caution.Analysts are generally optimistic, with a simple average rating of 5.00 and a performance-weighted average of 4.44, indicating strong conviction in the long-term potential of the energy sector. However, rating consistency is low, with no strong agreement on the timing or magnitude of future gains. This contrasts with the 10.63% recent price rise, which suggests that while the stock has gained, investor sentiment is still divided.
Schlumberger is currently experiencing negative overall money-flow trends across all categories — from small to extra-large investors. The overall inflow ratio is 48.53%, suggesting that for every $100 of trading volume, just under half is coming in as new capital. The biggest concern is the block flow ratio at 48.63%, which typically indicates institutional selling or hedging activity. These trends suggest a cautious stance from large investors, despite recent price gains.
Technically, Schlumberger is in a weak state, with 3 bearish and 1 neutral signals, and no bullish indicators over the last five days. Here’s how the key signals are performing:
Recent chart patterns (by date):
Schlumberger is showing mixed signals across its fundamentals, analyst ratings, and technicals. While the stock is up 10.63% recently and analysts remain bullish on the long-term energy services sector, the internal technical score is a weak 3.14/10, and bearish indicators are clearly in control. Large investor flows remain negative, and recent candlestick patterns are inconsistent.
Actionable takeaway: Consider waiting for a clearer trend or a pull-back before entering a position in Schlumberger. Watch for confirmation of a new bullish trend or a breakdown in overbought conditions before making a move.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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