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Gartner (IT) is in a clear downward trend (-26.02%) with weak technical indicators and mixed analyst views. Investors should consider avoiding or watching for pull-back opportunities.
Recent news affecting the broader market and potentially influencing investor sentiment include:
Gartner is seeing mixed analyst sentiment with a simple average rating of 3.12 and a performance-weighted rating of 2.72. The consensus is not strong, showing dispersed views with 4 Neutral, 2 Sell, 1 Buy, and 1 Strong Buy ratings in the last 20 days.
These ratings are in alignment with the recent price trend (down -26.02%), as most analysts have issued cautious or bearish assessments. However, the Barclays analyst (Manav Patnaik), with an excellent historical winning rate (80%) and a recent "Buy" rating, stands out as a rare positive voice.
Key fundamental values and their internal diagnostic scores (0-10):
Gartner is experiencing negative overall money-flow trends, with no size category showing positive inflow. The overall inflow ratio stands at 0.4779, with small, medium, and large-sized flows all trending negative. This suggests that both institutional and retail investors are selling or staying on the sidelines, which is a sign of weak demand and potentially continued downward pressure.
Technically, Gartner is under significant pressure. Its internal diagnostic score is 1.0, the lowest possible, indicating very weak momentum. Here's a breakdown of the key technical signals:
Recent chart patterns (from 2025-08-11 to 2025-08-13) include:
These signals confirm weak momentum and reinforce the recommendation to avoid the stock or consider a wait-and-see approach.
With weak technicals, mixed analyst ratings, and negative money flow, Gartner remains a high-risk stock. Investors should consider waiting for a potential pull-back or clearer signals before entering a position. The recent bearish indicators, including RSI and WR oversold levels, also support a cautious stance.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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