$18.480
-2.672 (-14.46%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
QMCO 相似图表分析预测
Alphio's QMCO stock price prediction model matches the current Quantum Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $18.80 (+1.75%). The 1-week path is $18.89 (+2.24%). 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 Quantum Corp 股票吗?
Quantum Corp appears to be a good buy right now due to its recent earnings report showing a revenue of $81 million, exceeding expectations, and a gross margin improvement to 39.3%. Additionally, the stock's current price of $18.48 is well below analyst price targets, suggesting potential for growth. However, the main risk is the negative earnings per share (EPS) of -7.06, indicating ongoing losses that investors should monitor closely.
QMCO 股价于 Friday 收于 $18.48,此前下跌 -14.46%
Quantum Corp (QMCO) last closed at $18.48, losing -14.46%. These facts feed the 1-day and 1-week QMCO price prediction above.
预测驱动因素
Quantum Corp(QMCO)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
Bullish
相似图表形态
近期走势与 QMCO 最接近的股票,按相似度排序。
QMCO 季节性分析
Historically the probability of a positive October return for QMCO is 22.03%. May offers the highest probability of a positive month at 66.67%, while November is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
QMCO 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $7.12 | $9.78 | $12.60 | -47.10% |
| Nov 2026 | $7.41 | $9.78 | $11.11 | -47.10% |
| Dec 2026 | $12.96 | $13.54 | $15.35 | -26.73% |
2026 年,Quantum Corp(QMCO)预计区间为 $7.12 至 $15.35。
Quantum Corp 2026 年月度预测
2026 年 Oct,Quantum Corp 预计均价 $9.78,最低 $7.12,最高 $12.60。
2026 年 Nov,Quantum Corp 预计均价 $9.78,最低 $7.41,最高 $11.11。
2026 年 Dec,Quantum Corp 预计均价 $13.54,最低 $12.96,最高 $15.35。
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。