$1.546
-0.062 (-3.98%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
CTNT 相似图表分析预测
Alphio's CTNT stock price prediction model matches the current Cheetah Net Supply Chain Service Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.74 (+0.81%). The 1-week path is $1.74 (+0.64%). 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 Cheetah Net Supply Chain Service Inc 股票吗？
Cheetah Net Supply Chain Service Inc is not a good buy right now due to significant financial losses and a very low price. The current price is $1.55, with a staggering year-to-date change of -100%. Additionally, the RSI is at an extremely low level of 11.687, indicating oversold conditions, but this does not suggest a buying opportunity given the company's ongoing struggles.
CTNT 股价于 Friday 收于 $1.55，此前下跌 -3.98%
Cheetah Net Supply Chain Service Inc (CTNT) last closed at $1.73, gaining +11.90%. These facts feed the 1-day and 1-week CTNT price prediction above.
预测驱动因素
Cheetah Net Supply Chain Service Inc（CTNT）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
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 CTNT 最接近的股票，按相似度排序。
CTNT 季节性分析
Historically the probability of a positive November return for CTNT is 0.00%. March offers the highest probability of a positive month at 66.67%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
CTNT 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $0.71 | $1.08 | $1.31 | -37.73% |
| Dec 2026 | $0.86 | $0.99 | $1.05 | -42.70% |
2026 年，Cheetah Net Supply Chain Service Inc（CTNT）预计区间为 $0.71 至 $1.31。
Cheetah Net Supply Chain Service Inc 2026 年月度预测
2026 年 Nov，Cheetah Net Supply Chain Service Inc 预计均价 $1.08，最低 $0.71，最高 $1.31。
2026 年 Dec，Cheetah Net Supply Chain Service Inc 预计均价 $0.99，最低 $0.86，最高 $1.05。
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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。