$9.840
-0.010 (-0.10%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
SHOT 相似图表分析预测
Alphio's SHOT stock price prediction model matches the current Bonk Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.82 (-0.16%). The 1-week path is $9.79 (-0.47%). 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 Bonk Inc 股票吗?
Safety Shot Inc is a good buy right now due to its recent strategic partnership that led to a 12% rise in after-hours trading, and a remarkable 1-year change of 2097.41%. The current price of $9.84 is well below the projected price targets, indicating potential for growth. However, the company has shown volatility with a high historical volatility of 129.01%, which could pose risks for investors.
SHOT 股价于 Tuesday 收于 $9.84,此前下跌 -0.10%
Bonk Inc (SHOT) last closed at $9.84, losing -0.10%. These facts feed the 1-day and 1-week SHOT price prediction above.
预测驱动因素
Bonk Inc(SHOT)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
Bearish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 SHOT 最接近的股票,按相似度排序。
SHOT 季节性分析
Historically the probability of a positive September return for SHOT is 4.65%. August offers the highest probability of a positive month at 32.81%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
SHOT 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Sep 2026 | $0.50 | $0.52 | $0.55 | -94.75% |
| Oct 2026 | $0.44 | $0.54 | $0.63 | -94.55% |
| Nov 2026 | $0.53 | $0.61 | $0.70 | -93.80% |
| Dec 2026 | $0.41 | $0.49 | $0.54 | -95.01% |
2026 年,Bonk Inc(SHOT)预计区间为 $0.41 至 $0.70。
Bonk Inc 2026 年月度预测
2026 年 Sep,Bonk Inc 预计均价 $0.52,最低 $0.50,最高 $0.55。
2026 年 Oct,Bonk Inc 预计均价 $0.54,最低 $0.44,最高 $0.63。
2026 年 Nov,Bonk Inc 预计均价 $0.61,最低 $0.53,最高 $0.70。
2026 年 Dec,Bonk Inc 预计均价 $0.49,最低 $0.41,最高 $0.54。
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。