$3.250
-0.087 (-2.69%)At close
Price Predictions
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AHT stock price ended at $3.25 on Friday, after losing -2.69%
Ashford Hospitality Trust Inc (AHT) last closed at $3.25, losing -2.69%. These facts feed the 1-day and 1-week AHT price prediction above.
Analyst Consensus
Ashford Hospitality Trust Inc (AHT): 4 buy, 2 hold, 1 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Ashford Hospitality Trust Inc (AHT) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Seasonality analysis for AHT
Historically the probability of a positive August return for AHT is 0.00%. January offers the highest probability of a positive month at 37.70%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
10-year price projections for AHT
| Month | Min Price | Avg Price | Max Price | Potential ROI |
|---|---|---|---|---|
| Aug 2026 | $3.62 | $4.58 | $5.38 | +41.02% |
| Sep 2026 | $3.18 | $4.30 | $4.47 | +32.39% |
| Oct 2026 | $3.57 | $4.30 | $4.97 | +32.39% |
| Nov 2026 | $3.86 | $4.38 | $5.47 | +34.75% |
| Dec 2026 | $4.53 | $5.23 | $5.89 | +60.81% |
In 2026, Ashford Hospitality Trust Inc (AHT) is projected to range from $3.18 to $5.89.
Ashford Hospitality Trust Inc 2026 monthly forecast
In Aug 2026, Ashford Hospitality Trust Inc is projected to average $4.58, with a low of $3.62 and high of $5.38.
In Sep 2026, Ashford Hospitality Trust Inc is projected to average $4.30, with a low of $3.18 and high of $4.47.
In Oct 2026, Ashford Hospitality Trust Inc is projected to average $4.30, with a low of $3.57 and high of $4.97.
In Nov 2026, Ashford Hospitality Trust Inc is projected to average $4.38, with a low of $3.86 and high of $5.47.
In Dec 2026, Ashford Hospitality Trust Inc is projected to average $5.23, with a low of $4.53 and high of $5.89.
本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。