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Takeaway:
(VRSK) shows a weak technical outlook with no bullish indicators and four bearish signals, suggesting investors should approach with caution. Meanwhile, the stock has seen positive fund flows across all investor sizes in recent days.Recent news affecting
includes:Analyst sentiment for VRSK is mixed. The simple average rating is 4.00, while the weighted rating is 0.00 due to poor historical performance by the sole recent analyst, Scott Wurtzel of Wolfe Research, who gave a "Buy" rating on September 3, 2025. This suggests a lack of consensus and caution in expectations.
Verisk’s fundamentals, according to internal diagnostic scores (0-10), show a weak profile, with an overall internal diagnostic score of 1.72. Key values and their scores include:
These mixed fundamentals suggest a company under pressure, with weak profitability and liquidity indicators.
Big-money investors and institutional flows are showing positive signals. The fund-flow score for VRSK is 7.63 (good), indicating strong inflows across all investor sizes:
This positive fund flow is a counterbalance to the weak technical signals and suggests some market confidence in the near-term.
Verisk Analytics shows a very bearish technical outlook. With zero bullish and four bearish indicators, the technical score is 2.6, one of the lowest possible. Key signals:
In the last five days, recent patterns have included a Bearish Engulfing (9/2), WR Oversold (9/2, 8/28), and a MACD Golden Cross (8/18), all reinforcing the bearish tilt.
Verisk Analytics faces a challenging technical environment with no bullish indicators and a weak internal diagnostic score of 2.6. While fundamentals remain mixed and analyst ratings inconsistent, positive fund flows suggest some short-term investor interest.
Actionable takeaway: Given the weak technical signals and mixed fundamentals, it may be prudent to wait for a clearer trend or earnings catalyst before committing capital. Investors should monitor the stock for potential volatility and avoid overexposure in the near term.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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