$1.705
-0.015 (-0.87%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
BOF 相似图表分析预测
Alphio's BOF stock price prediction model matches the current BranchOut Food Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.72 (+1.02%). The 1-week path is $1.78 (+4.55%). 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.
该买入 BranchOut Food Inc 股票吗?
BranchOut Food Inc. (BOF) is a good buy right now due to its recent revenue growth of 113% year-over-year, reaching approximately $14 million, and a low current price of $1.68, which is significantly below its 52-week high of $5.25. The company's forward P/E is currently at 0, suggesting potential for future profitability as it transitions into a growth phase. However, a key risk is its high debt-to-equity ratio of 199.79%, which indicates financial leverage that could impact its stability if not managed properly.
BOF 股价于 Friday 收于 $1.71,此前下跌 -0.87%
BranchOut Food Inc (BOF) last closed at $1.705, losing -0.87%. These facts feed the 1-day and 1-week BOF price prediction above.
预测驱动因素
BranchOut Food Inc(BOF)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 BOF 最接近的股票,按相似度排序。
BOF 季节性分析
Historically the probability of a positive November return for BOF is 88.64%. September offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
BOF 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $2.70 | $3.18 | $3.22 | +86.69% |
| Dec 2026 | $2.43 | $2.49 | $2.85 | +46.02% |
2026 年,BranchOut Food Inc(BOF)预计区间为 $2.43 至 $3.22。
BranchOut Food Inc 2026 年月度预测
2026 年 Nov,BranchOut Food Inc 预计均价 $3.18,最低 $2.70,最高 $3.22。
2026 年 Dec,BranchOut Food Inc 预计均价 $2.49,最低 $2.43,最高 $2.85。
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本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。