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Takeaway:
(TSCO) is facing a weak technical outlook with a score of 1.71 (internal diagnostic score, 0-10), but analysts remain cautiously optimistic about the stock.Recent news items show mixed signals for Tractor Supply. Notably:
Analysts are largely bullish on
, with a simple average rating score of 3.88 and a performance-weighted rating of 4.57. The ratings, however, show moderate dispersion, with 10 "Buy" ratings and 2 "Strong Buy" ratings, along with 4 "Neutral" ratings.Despite this optimism, the stock’s current price trend is a -1.46% decline, which suggests a mismatch between analyst expectations and recent price action.
Key fundamental values and their internal diagnostic scores include:
While the fundamentals are mixed, the overall fundamental score is 5.82 (internal diagnostic score, 0-10), indicating modest confidence in the stock's fundamentals.
The fund-flow analysis shows a positive overall trend with an overall inflow ratio of 50.09%. Specifically:
This suggests that while retail investors are cautious, big-money players (medium and extra-large) are showing a stronger willingness to buy into TSCO, with an overall fund-flow score of 7.21 (internal diagnostic score, 0-10).
Technically, the stock is in a bearish condition, with 5 bearish indicators and 0 bullish signals in the last 5 days. The technical score is 1.71 (internal diagnostic score, 0-10), and the overall trend is weak, recommending to avoid the stock.
Key technical indicators and their internal scores include:
Recent chart patterns include:
These signals confirm a weak momentum, with bearish indicators clearly dominating the recent technical landscape.
Tractor Supply presents a mixed picture: while analysts remain cautiously optimistic, the technical indicators are bearish and the price is currently declining. The fundamental score is modest, and large investors are showing interest despite retail caution.
Actionable takeaway: Investors should consider waiting for a pull-back before entering a position in Tractor Supply, as the technical signals suggest a higher risk of further declines in the short term.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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