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Headline takeaway: The stock is in a weak technical position with bearish signals dominating, suggesting investors should avoid it.
While the recent news digest focuses on AI and data science platform leaders like Altair and WEKA, it lacks direct mentions of
, suggesting limited direct impact on the stock in the short term. The broader tech sector, however, is under pressure, which could indirectly influence EPAM's performance.Analysts are divided in their views, with two major institutions—JP Morgan and Morgan Stanley—both rating the stock as "Underperform." The simple average rating is 3.50, while the weighted performance rating is only 0.69. This low weighted score reflects the poor historical returns of the involved analysts. There is a significant discrepancy between analyst ratings and the recent price trend of -11.49%, indicating a pessimistic outlook.
On the fundamental side, the model scores highlight key weaknesses:
Big-money flows are showing mixed signals. The overall fund-flow score is 7.8 (a "good" rating), indicating that institutional investors are somewhat active. However, the overall trend is negative, with large and small investors both showing outflows. The retail inflow ratio is 0.4966, meaning retail investors are slightly more bullish than large institutions, but still in a net outflow position.
The technical indicators for EPAM are overwhelmingly bearish. Here's the breakdown of key signals:
Recent chart patterns show that on 2025-09-08, the stock displayed a WR Oversold, MACD Death Cross, and Bearish Engulfing pattern—each of these is a bearish signal. With 4 bearish indicators and no bullish ones in the past 5 days, the momentum is clearly negative.
Given the bearish technical signals, weak fundamentals, and lack of analyst optimism, investors should consider avoiding EPAM at this time. The stock is showing signs of a potential pullback, and without strong catalysts on the horizon—such as a clear earnings beat or major contract win—it may continue to underperform. For now, waiting for clearer signs of strength might be the best strategy for risk-averse investors.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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