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Sysco (SYY) is down 3.11% as bearish technical signals dominate, with an internal diagnostic score of just 2.49 for the stock’s technical profile. The overall trend is weak, and the stock is best avoided for now.
Analysts are split on
, with 6 Strong Buy and 2 Buy ratings in the past 20 days. The simple average rating score is 4.75, while the performance-weighted rating is only 2.95, highlighting a major divergence between sentiment and historical performance.Fundamental highlights (based on our internal diagnostic model with scores out of 10):
Despite the negative price trend, retail investors (small investors) are showing a positive flow, with 50.66% of small-capital flows being positive. However, big money is moving the other way, with large, extra-large, and block flows all negative (49.14% to 49.30% positive respectively).
The fund flow score is 7.84 (a "good" rating), indicating that while the stock is under pressure, there's still institutional interest in certain segments of the market.
The technical signals for SYY are overwhelmingly bearish, with 3 negative indicators and none positive in the last 5 days. Here’s a breakdown of the internal diagnostic scores (0-10):
Recent patterns include an oversold reading on the Williams %R on May 25 and a dividend event on May 20. The MACD Death Cross appeared on May 14, reinforcing the bearish trend.
Key insight: The technical side is weak, with bearish signals dominating the charts. Momentum is poor, and it’s advisable to avoid the stock for the near term.
Sysco (SYY) faces a confluence of bearish technical signals, weak price momentum, and mixed analyst sentiment. While fundamentals suggest a strong underlying business (especially profitability and asset efficiency), the current price trend is down and technical indicators suggest caution.
Actionable takeaway: Consider waiting for a pullback or improved momentum before entering a position. Investors should monitor earnings and analyst revisions in the coming weeks for potential reversal signals.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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