TradeFlare's AI research teams analysed DOO on 8 market nights between April 17, 2026 and June 4, 2026. Each row is that night's verdict, the price that day, and how the price actually moved afterwards — wins and misses alike. Nothing is edited after the fact.
| Date | Verdict | Price | Target / stop | 5 days later | 20 days later | Why (that night) |
|---|---|---|---|---|---|---|
| June 4, 2026 | BUY | $61.65 | — / — | -5.9% | -5.2% | Post-earnings drift (PEAD) signal following a significant EPS beat. |
| June 3, 2026 | BUY | $61.18 | — / — | -5.9% | -6.1% | The market regime is neutral, and the stock's technicals are neutral with conflicting signals, necessitating a cautious approach. |
| June 2, 2026 | BUY | $58.48 | — / — | -0.9% | -4.0% | The stock is currently consolidating and lacks a clear directional bias from the technical team. |
| June 1, 2026 | BUY | $57.77 | — / — | +3.6% | +4.3% | The market regime is neutral, and while there's an earnings surprise, the technicals are neutral to bearish, and the fundamental and risk profiles present significant concerns. |
| May 29, 2026 | BUY | $58.57 | — / — | +5.1% | +7.8% | The current market regime is neutral, and the stock's technicals are neutral with bearish short-term pressure, making it unsuitable for a buy at this time. |
| May 4, 2026 | BUY | $55.66 | $62.42 / $47.31 | +6.4% | +14.3% | The current market regime is neutral, and while fundamentals are bullish, technicals are neutral and sentiment is mixed, requiring a clearer signal for a buy. |
| April 20, 2026 | HOLD | $57.85 | $67.17 / $50.22 | -7.7% | -7.1% | To allow time for the price to potentially break through resistance, but also to manage risk given the high volatility. |
| April 17, 2026 | HOLD | $54.90 | — / $50.57 | -1.9% | -4.0% |
Prices are daily closes. "Days later" counts trading days from the close on the day of the call. A HOLD is not a recommendation to buy; only published signals are tracked with a target and stop on the public record. How the research works. Updated October 14, 2026. AI-generated research for educational purposes — it can be wrong and is not financial advice.