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Headline Takeaway:
(WDAY) is under pressure with a recent price drop of -6.71% and a technical score of 1.73, signaling a weak trend and a clear bearish bias.Analysts are largely bearish, with a simple average rating of 2.00 and a performance-weighted rating of 0.00. This divergence highlights a lack of confidence among analysts, especially considering the poor historical performance of the sole active analyst, Brent Bracelin from
, who has a 0.00% win rate over recent predictions.Current price action, with a decline of -6.71%, aligns with the generally negative sentiment. Here are some key fundamental values and their internal diagnostic scores (0-10):
While some factors, like operating cash flow and Cash-UP, show moderate strength, the low ROE and long inventory turnover days point to underlying operational challenges.
Workday is seeing mixed money-flow signals. While the overall inflow ratio stands at 0.5068, suggesting positive flow, the breakdown shows large and extra-large investors are diverging. Specifically:
With a fund flow score of 7.41 (score level: good), it appears institutional money is still rotating into the stock despite the bearish price action, though with some hesitation from larger players.
Technically, Workday is struggling. Over the past five days, the stock has triggered multiple bearish signals:
These signals have appeared frequently in recent days: on August 1, 4, 5, and 7, 2025. The technical score is a weak 1.73, and the overall trend is described as “technical bias weak, suggest avoiding.”
Workday is facing a confluence of bearish technical signals, negative price action, and weak analyst sentiment. Despite relatively stable fundamentals like operating cash flow and cash position, the stock’s overall technical and market flow dynamics are clearly unfavorable. Investors should consider waiting for a more favorable entry point or reassess their exposure until the trend shows signs of reversal.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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