$10.550
-0.804 (-7.62%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
MKDW 相似圖表分析預測
Alphio's MKDW stock price prediction model matches the current MKDWELL Tech Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.37 (-1.68%). The 1-week path is $10.64 (+0.85%). 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 MKDWELL Tech Inc 股票嗎?
MKDWELL Tech Inc. is not a good buy right now due to its low RSI of 28.99, indicating oversold conditions, and a significant negative EPS forecast of -19.95 for Q4 2025, suggesting ongoing financial struggles.
MKDW 股價於 Friday 收在 $10.55,此前下跌 -7.62%
MKDWELL Tech Inc (MKDW) last closed at $10.55, losing -7.62%. These facts feed the 1-day and 1-week MKDW price prediction above.
預測驅動因素
MKDWELL Tech Inc(MKDW)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 MKDW 最接近的股票,依相似度排序。
MKDW 季節性分析
Historically the probability of a positive August return for MKDW is 31.75%. April offers the highest probability of a positive month at 67.19%, while September is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
MKDW 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Aug 2026 | $0.26 | $0.27 | $0.29 | -97.48% |
| Sep 2026 | $0.24 | $0.29 | $0.30 | -97.28% |
| Oct 2026 | $0.16 | $0.21 | $0.23 | -97.99% |
| Nov 2026 | $0.21 | $0.25 | $0.29 | -97.66% |
| Dec 2026 | $0.18 | $0.24 | $0.26 | -97.77% |
2026 年,MKDWELL Tech Inc(MKDW)預計區間為 $0.16 至 $0.30。
MKDWELL Tech Inc 2026 年月度預測
2026 年 Aug,MKDWELL Tech Inc 預計均價 $0.27,最低 $0.26,最高 $0.29。
2026 年 Sep,MKDWELL Tech Inc 預計均價 $0.29,最低 $0.24,最高 $0.30。
2026 年 Oct,MKDWELL Tech Inc 預計均價 $0.21,最低 $0.16,最高 $0.23。
2026 年 Nov,MKDWELL Tech Inc 預計均價 $0.25,最低 $0.21,最高 $0.29。
2026 年 Dec,MKDWELL Tech Inc 預計均價 $0.24,最低 $0.18,最高 $0.26。
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。