$16.370
-0.080 (-0.49%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
UPBD 相似图表分析预测
Alphio's UPBD stock price prediction model matches the current Upbound Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $16.13 (+0.94%). The 1-week path is $16.45 (+2.93%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
该买入 Upbound Group Inc 股票吗?
Upbound Group Inc is a good buy right now, with a current price of $16.37 and a forward P/E ratio of 3.46, indicating strong earnings potential. Additionally, the stock has an impressive gross margin of 49.93% in Q2 2026, showcasing operational efficiency. The main risk is the recent decline in stock performance, with a 1-year change of -26.82%, which investors should monitor closely.
UPBD 股价于 Friday 收于 $16.37,此前下跌 -0.49%
Upbound Group Inc (UPBD) last closed at $15.98, losing -2.38%. These facts feed the 1-day and 1-week UPBD price prediction above.
预测驱动因素
Upbound Group Inc(UPBD)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
相似图表形态
近期走势与 UPBD 最接近的股票,按相似度排序。
UPBD 季节性分析
Historically the probability of a positive October return for UPBD is 0.00%. January offers the highest probability of a positive month at 68.85%, while October is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
UPBD 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $20.55 | $21.14 | $21.74 | +32.30% |
| Nov 2026 | $20.36 | $21.14 | $24.14 | +32.30% |
| Dec 2026 | $24.01 | $25.79 | $26.78 | +61.37% |
2026 年,Upbound Group Inc(UPBD)预计区间为 $20.36 至 $26.78。
Upbound Group Inc 2026 年月度预测
2026 年 Oct,Upbound Group Inc 预计均价 $21.14,最低 $20.55,最高 $21.74。
2026 年 Nov,Upbound Group Inc 预计均价 $21.14,最低 $20.36,最高 $24.14。
2026 年 Dec,Upbound Group Inc 预计均价 $25.79,最低 $24.01,最高 $26.78。
本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。