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Amcor (AMCR.N) is in a weak technical position, with bearish indicators overwhelming bullish signals. The price has fallen by 9.35% recently, and analysts remain largely neutral, despite mixed historical performance.
The simple average analyst rating is 3.00, with a weighted average of 2.08, indicating a cautiously bearish outlook. The sole recent analyst from Baird gave a "Neutral" rating, showing some consensus but also a lack of strong conviction. This aligns with the current price trend of -9.35%, suggesting market expectations and price action are in sync.
Key fundamentals and internal diagnostic scores:
These mixed fundamentals show a company under some financial strain, especially with the very high PE ratio and negative net income margin, which are red flags in the current market environment.
Amcor is seeing positive large and institutional money flows. The overall inflow ratio is 50.32%, with large and extra-large investors showing inflows of 50.50% and 50.29%, respectively. However, retail investors are net outflowing (Small_trend: negative), which may indicate growing skepticism among individual traders.
Technically, Amcor is in a rough patch with a technical score of 3.77. The recent five-day period shows five bearish indicators vs. one bullish, and the overall trend is bearish. Key indicators and their internal diagnostic scores include:
These signals suggest the stock is in a volatile and downward-sloping phase, with strong bearish momentum overwhelming any short-term bounces.
Amcor is under pressure across technical, fundamental, and market flow metrics. Investors should consider avoiding the stock for now, given the high bearish bias and poor price trend. A pull-back may occur ahead of the upcoming earnings and dividend announcements, which could provide more clarity. Monitor the broader packaging sector’s response to sustainability trends and legal developments for possible future opportunities.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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