$0.174
+0.018 (+10.06%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
AEON 相似圖表分析預測
Alphio's AEON stock price prediction model matches the current Aeon Biopharma Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.18 (+4.05%). The 1-week path is $0.18 (+1.21%). 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 Aeon Biopharma Inc 股票嗎?
Aeon Biopharma Inc is currently a hold due to its low price of $0.17, which is significantly below its 52-week high of $1.45, indicating potential upside. However, the RSI is at 29.072, suggesting the stock is oversold, but it has experienced a drastic decline of 84.32% year-to-date, raising concerns about its stability. Analysts have set a price target of $2, reflecting optimism about the company's FDA feedback on ABP-450, but the risk of further losses remains high, especially given the recent 5-day change of -36.50%.
AEON 股價於 Friday 收在 $0.17,此前上漲 +10.06%
Aeon Biopharma Inc (AEON) last closed at $0.174, gaining +10.06%. These facts feed the 1-day and 1-week AEON price prediction above.
預測驅動因素
Aeon Biopharma Inc(AEON)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
Bearish
相似圖表形態
近期走勢與 AEON 最接近的股票,依相似度排序。
AEON 季節性分析
Historically the probability of a positive November return for AEON is 0.00%. February offers the highest probability of a positive month at 47.37%, while May is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
AEON 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $0.89 | $0.89 | $0.90 | +409.93% |
| Dec 2026 | $0.85 | $0.94 | $1.02 | +442.68% |
2026 年,Aeon Biopharma Inc(AEON)預計區間為 $0.85 至 $1.02。
Aeon Biopharma Inc 2026 年月度預測
2026 年 Nov,Aeon Biopharma Inc 預計均價 $0.89,最低 $0.89,最高 $0.90。
2026 年 Dec,Aeon Biopharma Inc 預計均價 $0.94,最低 $0.85,最高 $1.02。
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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。