$1.560
-0.029 (-1.89%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
BTBD 相似圖表分析預測
Alphio's BTBD stock price prediction model matches the current Bt Brands Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.58 (+1.24%). The 1-week path is $1.61 (+3.02%). 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 Bt Brands Inc 股票嗎?
BT Brands Inc (BTBD) is not a good buy right now due to its current price of $1.56, which is close to its 52-week low of $1.03. The RSI is at 27.57, indicating that the stock is oversold, but this alone does not guarantee a price rebound. Additionally, the company has reported a significant decline in revenue by 12.1% year-over-year, reflecting ongoing financial struggles. The termination of the merger agreement with Aero Velocity raises concerns about future growth opportunities and strategic direction, which further complicates the investment outlook.
BTBD 股價於 Friday 收在 $1.56,此前下跌 -1.89%
Bt Brands Inc (BTBD) last closed at $1.5599999, losing -1.89%. These facts feed the 1-day and 1-week BTBD price prediction above.
預測驅動因素
Bt Brands Inc(BTBD)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 BTBD 最接近的股票,依相似度排序。
BTBD 季節性分析
Historically the probability of a positive November return for BTBD is 47.73%. September offers the highest probability of a positive month at 67.74%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
BTBD 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $1.24 | $1.47 | $1.72 | -5.57% |
| Dec 2026 | $1.45 | $1.47 | $1.62 | -5.57% |
2026 年,Bt Brands Inc(BTBD)預計區間為 $1.24 至 $1.72。
Bt Brands Inc 2026 年月度預測
2026 年 Nov,Bt Brands Inc 預計均價 $1.47,最低 $1.24,最高 $1.72。
2026 年 Dec,Bt Brands Inc 預計均價 $1.47,最低 $1.45,最高 $1.62。
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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。