$0.860
+0.019 (+2.17%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
PMAX 相似圖表分析預測
Alphio's PMAX stock price prediction model matches the current Powell Max Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.88 (+2.33%). The 1-week path is $0.85 (-1.10%). 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 Powell Max Ltd 股票嗎?
Powell Max Ltd (PMAX) is a good buy right now due to its recent price surge of 88.80% over the last five days, indicating strong short-term momentum. The current price is $0.86, which is significantly below the 52-week high of $33.50, suggesting substantial upside potential. Additionally, the gross margin has improved to 45.96% in Q2 2025, up from 0% in Q1 2025, indicating a recovery in profitability. However, the main risk is the company's high debt-to-equity ratio of 25.66%, which could pose challenges if financial conditions worsen.
PMAX 股價於 Friday 收在 $0.86,此前上漲 +2.17%
Powell Max Ltd (PMAX) last closed at $0.86, gaining +2.17%. These facts feed the 1-day and 1-week PMAX price prediction above.
預測驅動因素
Powell Max Ltd(PMAX)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
Bullish
SMA 200
Bearish
相似圖表形態
近期走勢與 PMAX 最接近的股票,依相似度排序。
PMAX 季節性分析
Historically the probability of a positive November return for PMAX is 0.00%. February offers the highest probability of a positive month at 50.00%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
PMAX 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $0.35 | $0.39 | $0.47 | -54.41% |
| Dec 2026 | $0.43 | $0.45 | $0.49 | -47.35% |
2026 年,Powell Max Ltd(PMAX)預計區間為 $0.35 至 $0.49。
Powell Max Ltd 2026 年月度預測
2026 年 Nov,Powell Max Ltd 預計均價 $0.39,最低 $0.35,最高 $0.47。
2026 年 Dec,Powell Max Ltd 預計均價 $0.45,最低 $0.43,最高 $0.49。
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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。