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FactSet (FDS) is under pressure technically, with a recent price drop of -1.98%, and analysts remain cautiously neutral to bearish.
Recent news underscores the evolving landscape for capital markets:
Analysts are split but broadly cautious. The simple average rating is 2.67 while the weighted rating is 2.93, showing a slight improvement in confidence when accounting for past performance.
Rating consistency is “consistent,” with six active analysts and six institutions weighing in. All six recent ratings are either “Neutral” or “Sell.” Despite this, the ratings align with the stock’s recent price trend, which has been negative.
On fundamentals, the internal diagnostic score is 3.91. Key factors include:
Fund flows are negative across all categories, from small to extra-large investors. The overall trend is negative and the overall inflow ratio is 0.48, meaning only a little over half of the trading volume is attributed to inflows. This suggests that both retail and institutional investors are cautious, with no clear sign of a turnaround.
From a technical perspective,
is in a weak state with a technical score of 2.83. Here’s how the key indicators are scoring:Recent chart patterns show bearish activity, including the Ex-Dividend and Dividend Record Date signals on August 29. These events are historically linked to price declines. Meanwhile, a Marubozu White candle formed on August 19, suggesting a temporary bullish pause—but it’s not enough to reverse the trend.
Key insights confirm the weakness: 4 bearish vs. 1 bullish signals, and a neutral to bearish momentum. Traders should be cautious and watch for signs of a breakdown below key support levels.
Consider waiting for a pull-back or clearer technical signals before entering a long position. With bearish indicators dominating, a strong earnings report or positive capital markets news could serve as a trigger for a short-term rally. However, the current climate suggests investors should remain defensive.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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