$16.980
-0.616 (-3.63%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
QMCO 相似圖表分析預測
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 $17.73 (+0.64%). The 1-week path is $17.84 (+1.26%). 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.
該買進 Quantum Corp 股票嗎?
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 股價於 Thursday 收在 $16.98,此前下跌 -3.63%
Quantum Corp (QMCO) last closed at $17.62, gaining +3.77%. These facts feed the 1-day and 1-week QMCO price prediction above.
預測驅動因素
Quantum Corp(QMCO)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
相似圖表形態
近期走勢與 QMCO 最接近的股票,依相似度排序。
QMCO 季節性分析
Historically the probability of a positive October return for QMCO is 26.98%. 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 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $7.12 | $9.78 | $12.60 | -44.52% |
| Nov 2026 | $7.41 | $9.78 | $11.11 | -44.52% |
| Dec 2026 | $12.96 | $13.54 | $15.35 | -23.15% |
2026 年,Quantum Corp(QMCO)預計區間為 $7.12 至 $15.35。
Quantum Corp 2026 年月度預測
2026 年 Oct,Quantum Corp 預計均價 $9.78,最低 $7.12,最高 $12.60。
2026 年 Nov,Quantum Corp 預計均價 $9.78,最低 $7.41,最高 $11.11。
2026 年 Dec,Quantum Corp 預計均價 $13.54,最低 $12.96,最高 $15.35。
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。