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Headline Takeaway:
(NEM) is in a technical wait-and-see phase with mixed signals between bearish and bullish indicators. Stance: Cautious observation is advised.Average Rating Score: 3.75 (simple mean)
Weighted Rating Score: 1.67 (performance-weighted)
Rating Consistency: The analyst ratings are highly dispersed, with one "Strong Buy," one "Buy," and two "Neutral" ratings. This divergence suggests conflicting expectations about Newmont's future performance.
Alignment with Price Trend: The stock is currently in a positive price trend (9.41%), but the analyst ratings are weighted pessimistically, indicating a mismatch between market sentiment and institutional expectations.
Key Fundamental Factors:
These figures indicate a mixed fundamental outlook, with strong revenue and cash position but moderate profitability. The internal diagnostic score of 6.71 suggests the fundamentals are neither overwhelmingly positive nor negative.
Newmont's fund-flow score is 7.77, an internal diagnostic score (0-10) indicating good performance. However, the overall trend is negative for both retail and institutional flows:
While inflow ratios hover slightly above 50%, the negative trend implies that big money is cautious, and may be reducing exposure. Retail and institutional flows are broadly aligned in their caution.
Technical indicators for Newmont are in a state of neutrality, with a score of 5.12, an internal diagnostic score (0-10). Here's the breakdown of recent signals:
Recent Chart Activity:
Key Insight: Technical indicators suggest volatility without a clear directional bias. The wait-and-see stance is appropriate as long-term signals remain inconclusive.
Newmont is in a technical limbo, with mixed signals from both technical and fundamental angles. While the fundamentals show moderate strength and the technical score is neutral, analyst ratings are inconsistent and bearish. Given the internal diagnostic score of 5.12 on technicals and the recent volatility, we recommend a hands-off approach for now. Investors should consider waiting for a clearer breakout or stronger institutional confirmation before entering a position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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