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Gartner (IT.N) is showing a mixed market outlook: Despite a 5.13% recent price rise, technical indicators are bearish with four negative signals outpacing zero positive ones, and our internal diagnostic score is only 2.95 (10 = best), suggesting caution for investors.
Analyst ratings are mixed: The simple average rating is 3.12 (on a 1-5 scale), and the historical performance-weighted score is 2.72. Analysts show varying views, with 4 Neutral, 2 Sell, and 1 Strong Buy ratings recently.
This suggests a relatively neutral market expectation despite the 5.13% rise in price. The mismatch between sentiment and price movement is a key red flag.
Big money is moving out: All major inflow categories—extra-large, large, medium, and small—show negative trends. The overall inflow ratio is 46.39%, with big-money (extra-large) inflow at 45.28% and
inflow at 45.90%. This suggests institutional and smart money investors are exiting, favoring caution over .Even retail flows (small trend) are negative, with an inflow ratio of just 49.34%. The combined bearishness across all sizes reinforces the technical concerns.
Technical indicators are overwhelmingly bearish: Gartner's internal diagnostic score of 2.95 highlights a weak trend with 4 bearish vs. 0 bullish signals in the last 5 days. Our model sees the following key signals:
Recent chart patterns: On May 20, both WR Overbought and MACD Golden Cross signaled mixed activity. By May 15, Bearish Engulfing and WR Oversold confirmed a bearish reversal. The May 26 Marubozu White pattern suggests continued buyer strength but lacks follow-through.
Overall trend: The technical side is weak, and it is suggested to avoid it. With four bearish indicators and only one neutral, the momentum appears to be firmly on the downside.
Actionable takeaway: With a technical score of 2.95 and bearish signals dominating, including WR Oversold, Bearish Engulfing, and weak inflow trends, Gartner is in a weak state. While the price has risen 5.13%, the internal signals and analyst dispersion suggest caution. Investors may want to avoid entering now or consider waiting for a pullback before considering a long position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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