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Headline Takeaway: D.R. Horton (DHI) is facing technical headwinds despite recent positive cash-flow trends and a mixed analyst outlook.
Analysts are divided on
, with five firms offering a range of ratings in the past 20 days. The simple average rating score is 3.40, while the performance-weighted score is 2.85. This suggests that while some firms have optimistic views, the market-weighted outlook is more cautious.Despite this divergence, the stock has risen 5.90% recently. However, this price movement is at odds with the weighted analyst sentiment, which remains relatively neutral.
Key Fundamentals and Model Scores (Internal Diagnostic Scores 0–10):
Big money and retail investors are both showing positive inflow trends, with the overall inflow ratio at 51.66%. Large, extra-large, and medium investors are showing inflows at 50.01%–52.35%, while retail (small investors) is at 50.24%. This suggests broad support for the stock despite its technical headwinds.
The technical outlook for DHI is weak, with an internal diagnostic score of 1.0. Two bearish indicators outweigh zero bullish ones, and recent patterns have amplified the bearish case.
Recent Chart Patterns (by date):
These patterns reinforce a weakening trend, with overbought conditions and bearish reversal signals appearing frequently over the past week. The overall trend is bearish with a strong internal diagnostic score of 1.0, recommending caution or avoidance in the near term.
While D.R. Horton’s fundamentals and cash-flow dynamics suggest a mixed but generally positive outlook, its weak technical profile and mixed analyst ratings paint a more cautious picture. With recent bearish signals and a low internal technical score, investors are advised to wait for a pullback or clearer momentum before initiating new positions. For now, the stock is best watched closely, particularly if the company shows improved momentum or positive earnings surprises in the coming quarters.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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