$38.770
-0.965 (-2.49%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
SYM 相似图表分析预测
Alphio's SYM stock price prediction model matches the current Symbotic Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $38.85 (+0.20%). The 1-week path is $39.74 (+2.49%). 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 Symbotic Inc 股票吗?
Symbotic Inc is currently not a strong buy due to its high valuation metrics and recent performance decline. The current price is $38.77, with a forward P/E of 161.29 indicating overvaluation compared to earnings potential. However, the company shows promising growth with a backlog of $22.5 billion, which is over 30 times its quarterly revenue, suggesting significant future revenue potential. The main risk is the 40.23% year-to-date decline, reflecting market skepticism.
SYM 股价于 Friday 收于 $38.77,此前下跌 -2.49%
Symbotic Inc (SYM) last closed at $38.77, losing -2.49%. These facts feed the 1-day and 1-week SYM price prediction above.
预测驱动因素
Symbotic Inc(SYM)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
Bearish
SMA 200
Bearish
SYM 季节性分析
Historically the probability of a positive October return for SYM is 38.98%. December offers the highest probability of a positive month at 51.16%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
SYM 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $44.95 | $46.45 | $48.21 | +19.80% |
| Nov 2026 | $37.94 | $39.61 | $42.79 | +2.16% |
| Dec 2026 | $37.49 | $38.11 | $43.81 | -1.70% |
2026 年,Symbotic Inc(SYM)预计区间为 $37.49 至 $48.21。
Symbotic Inc 2026 年月度预测
2026 年 Oct,Symbotic Inc 预计均价 $46.45,最低 $44.95,最高 $48.21。
2026 年 Nov,Symbotic Inc 预计均价 $39.61,最低 $37.94,最高 $42.79。
2026 年 Dec,Symbotic Inc 预计均价 $38.11,最低 $37.49,最高 $43.81。
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。