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Headline Takeaway:
(MDLZ) has risen 1.23% recently, but technical indicators and divergent analyst ratings suggest caution for new positions.Average Rating Score: The simple average analyst rating is 3.67, with a performance-weighted average of 2.56. This suggests mixed or slightly negative expectations from industry experts.
Rating Consistency: Analysts are not aligned. The latest ratings include one "Neutral" and two "Buy" calls, but performance history indicates inconsistency—UBS has a 75% historical win rate, while
has only 33%.Price Trend Mismatch: Despite the current price rise, the weighted market expectations remain mismatched, suggesting uncertainty among analysts.
Key Fundamental Factors:
These metrics show a mixed bag of fundamentals—some suggest strong profitability (ROE, EV/EBIT), while others (net income/revenue) highlight potential concerns.
Big money is moving out. The overall inflow ratio is just 0.44, with large and extra-large investors showing negative trends. This contrasts with small investors, who remain positive (inflow ratio: 0.51).
Key Flow Metrics:
With large institutional players pulling back, this could signal a lack of conviction or risk aversion, even as retail and smaller funds remain cautiously optimistic.
Our proprietary model gives Mondelez a technical score of 1.93—an internal diagnostic score (0-10), indicating weak technical health.
Top Signals:
Recent indicator activity shows a mix of signals:
The key takeaway is that bearish signals (3) clearly dominate over bullish (0), with an overall trend toward weakness. Investors should be wary of short-term declines.
Mondelez has risen in recent days, but the underlying technicals are weak, and money flows from large investors are negative. With mixed analyst ratings and a strong bearish bias in key technical indicators, we recommend investors consider waiting for a pull-back before entering new positions.
Watch for clarity in the next earnings report for potential catalysts—both positive and negative—that could determine MDLZ’s near-term direction.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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