$5.020
+0.020 (+0.40%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
LNZA 相似圖表分析預測
Alphio's LNZA stock price prediction model matches the current Lanzatech Global Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $4.99 (-0.58%). The 1-week path is $5.03 (+0.21%). 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 Lanzatech Global Inc 股票嗎?
LanzaTech Global Inc is not a good buy right now due to its current price of $4.93, which is near its 52-week low of $4.29, and an RSI of 42.85 indicating it is close to oversold conditions. Additionally, the company has a forward P/E ratio of 0, suggesting uncertainty in future earnings. The recent stock offering and a substantial YTD change of -64.79% indicate significant risks. The main risk is the company's high debt-to-equity ratio of 4.87%, which raises concerns about financial stability.
LNZA 股價於 Friday 收在 $5.02,此前上漲 +0.40%
Lanzatech Global Inc (LNZA) last closed at $5.02, gaining +0.40%. These facts feed the 1-day and 1-week LNZA price prediction above.
預測驅動因素
Lanzatech Global Inc(LNZA)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
Bearish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 LNZA 最接近的股票,依相似度排序。
LNZA 季節性分析
Historically the probability of a positive November return for LNZA is 0.00%. April offers the highest probability of a positive month at 32.81%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
LNZA 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $0.21 | $0.22 | $0.29 | -95.58% |
| Dec 2026 | $0.20 | $0.20 | $0.24 | -96.05% |
2026 年,Lanzatech Global Inc(LNZA)預計區間為 $0.20 至 $0.29。
Lanzatech Global Inc 2026 年月度預測
2026 年 Nov,Lanzatech Global Inc 預計均價 $0.22,最低 $0.21,最高 $0.29。
2026 年 Dec,Lanzatech Global Inc 預計均價 $0.20,最低 $0.20,最高 $0.24。
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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。