$5.030
-0.030 (-0.59%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
OWLT 相似圖表分析預測
Alphio's OWLT stock price prediction model matches the current Owlet Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.05 (+0.31%). The 1-week path is $5.11 (+1.62%). 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 Owlet Inc 股票嗎?
Owlet Inc is not a good buy right now due to its current price of $4.99, which is significantly below the analyst price targets of $10 and $15. The company has a concerning RSI of 28.53, indicating it is oversold, and a YTD change of -69.14%, reflecting a severe decline in value. Additionally, insider selling has increased by 690.29%, which raises red flags about the company's outlook.
OWLT 股價於 Thursday 收在 $5.03,此前下跌 -0.59%
Owlet Inc (OWLT) last closed at $5.03, losing -0.59%. These facts feed the 1-day and 1-week OWLT price prediction above.
預測驅動因素
Owlet Inc(OWLT)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 OWLT 最接近的股票,依相似度排序。
OWLT 季節性分析
Historically the probability of a positive September return for OWLT is 47.73%. January offers the highest probability of a positive month at 52.46%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
OWLT 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Sep 2026 | $7.03 | $8.40 | $8.81 | +67.08% |
| Oct 2026 | $5.01 | $6.57 | $6.74 | +30.69% |
| Nov 2026 | $6.04 | $6.51 | $7.77 | +29.39% |
| Dec 2026 | $8.12 | $8.65 | $9.99 | +72.07% |
2026 年,Owlet Inc(OWLT)預計區間為 $5.01 至 $9.99。
Owlet Inc 2026 年月度預測
2026 年 Sep,Owlet Inc 預計均價 $8.40,最低 $7.03,最高 $8.81。
2026 年 Oct,Owlet Inc 預計均價 $6.57,最低 $5.01,最高 $6.74。
2026 年 Nov,Owlet Inc 預計均價 $6.51,最低 $6.04,最高 $7.77。
2026 年 Dec,Owlet Inc 預計均價 $8.65,最低 $8.12,最高 $9.99。
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。