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Verisk Analytics (VRSK) shows weak technical conditions, with three bearish signals and no bullish ones identified over the last five days. The overall technical score is a low 3.03, suggesting investors should proceed with caution or avoid entry for now.
Three major institutions—Raymond James,
, and Morgan Stanley—have issued recent ratings for VRSK. The average rating score (simple mean) is 3.33, while the performance-weighted rating is 3.12. These scores show consistent but moderate expectations, with two out of three recent ratings labeled “Neutral” and one as “Buy.” Despite the ratings being aligned, the stock price rose 0.91% in the last period, suggesting the market may be treating the ratings with some caution.Key fundamental factors and their internal diagnostic scores (0-10) are as follows:
While some growth metrics are positive, liquidity and leverage indicators are weak, contributing to the low internal fundamental score of 2.61.
The fund-flow analysis reveals a mixed picture. While the overall trend is negative, small-cap investors are showing a positive bias (50.10% inflow ratio), while medium- and large-cap investors are trending negatively. The overall inflow ratio is 49.84%, suggesting that large institutional investors may be cautious or taking profit.
Over the last five days, several key technical signals have emerged:
On specific dates, the WR Oversold and RSI Oversold signals coincided on August 12, 2025, suggesting a potential bounce. However, the dominance of bearish signals (3) over bullish ones (0) indicates the stock is in a weak phase, with unclear direction.
Verisk Analytics faces a challenging short-term outlook, with weak technical signals, mixed analyst sentiment, and lack of strong fundamental support. Investors are advised to avoid initiating new positions or consider waiting for a more defined trend. A pullback or consolidation in the technical chart may offer a more favorable entry point. Keep an eye on upcoming earnings reports or key fundamental updates for potential catalysts.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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