$1.840
-0.020 (-1.08%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
ARQ 相似图表分析预测
Alphio's ARQ stock price prediction model matches the current Arq, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.68 (-5.23%). The 1-week path is $1.72 (-2.93%). 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 Arq, Inc. 股票吗?
Currently, Arq Inc is not a strong buy due to its low current price of $1.79, a significant year-to-date change of -46.25%, and a concerning RSI of 21.557, indicating oversold conditions. However, the company has reaffirmed its 2026 revenue guidance of $120 million to $125 million and reported a gross margin of 38.5%, which is an improvement of 520 basis points year-over-year. The main risk is the forward P/E ratio of 65.79, suggesting high expectations for future earnings that may not materialize.
ARQ 股价于 Wednesday 收于 $1.84,此前下跌 -1.08%
Arq, Inc. (ARQ) last closed at $1.77, losing -3.80%. These facts feed the 1-day and 1-week ARQ price prediction above.
预测驱动因素
Arq, Inc.(ARQ)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 ARQ 最接近的股票,按相似度排序。
ARQ 季节性分析
Historically the probability of a positive October return for ARQ is 37.10%. February offers the highest probability of a positive month at 67.24%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
ARQ 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $4.79 | $4.84 | $5.51 | +173.32% |
| Nov 2026 | $4.52 | $5.00 | $5.11 | +182.36% |
| Dec 2026 | $6.38 | $6.61 | $7.53 | +273.25% |
2026 年,Arq, Inc.(ARQ)预计区间为 $4.52 至 $7.53。
Arq, Inc. 2026 年月度预测
2026 年 Oct,Arq, Inc. 预计均价 $4.84,最低 $4.79,最高 $5.51。
2026 年 Nov,Arq, Inc. 预计均价 $5.00,最低 $4.52,最高 $5.11。
2026 年 Dec,Arq, Inc. 预计均价 $6.61,最低 $6.38,最高 $7.53。
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。