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With a technical score of 2.02,
(KHC) currently carries an internal diagnostic score (0-10) of "2.02" and shows a clearly bearish signal profile, including 5 bearish indicators and zero bullish ones. The overall trend is summarized as "technical weakness — best avoided."Analysts remain mixed in their outlook. The simple average rating is 3.00, while the performance-weighted rating is 3.58. This shows a slightly bullish tilt when weighted by historical accuracy, but it still contrasts with the stock's recent price trend of -6.57%.
Key fundamental metrics are mixed, but the overall model score is weak at 0.44 (also an internal diagnostic score). Below are key fundamentals:
These fundamentals are largely bearish and highlight a deteriorating financial position, which is not supported by the recent lukewarm analyst ratings.
The fund-flow patterns for KHC show a negative trend across all investor categories. The overall inflow ratio is at 48.07%, with both large and small investors pulling back.
With a fund-flow score of 7.51 (internal diagnostic score), the overall money flow is assessed as good, but the negative trend indicates that big money is currently cautious or bearish on KHC.
Technical indicators are overwhelmingly bearish. In the past five days, six signals have been analyzed, with 5 bearish indicators and 1 neutral. Here are the key signals:
Recent Indicators by Date:
The key insight: Technical momentum is negative, with 5 bearish indicators and 0 bullish ones. This is a strong warning for investors considering entry.
With technical, fundamental, and money-flow signals leaning bearish, The Kraft Heinz (KHC) appears to be in a weak position. The analyst ratings are neutral, but this does not offset the negative price trend of -6.57% or the poor fundamental performance.
Given the internal diagnostic technical score of 2.02 and the lack of bullish momentum, an actionable takeaway would be to avoid new positions for now. Investors may want to monitor the stock for a potential pullback or wait for clearer signs of stabilization in either earnings or fundamentals before re-evaluating.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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