Smart Sand Inc（SND）价格预测

$3.945

-0.384 (-9.73%)收盘时

价格预测

1-Day Price Prediction

+0.52%

1-Week Prediction

+1.43%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中打开以解锁更长周期的预测。

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SND 相似图表分析预测

Alphio's SND stock price prediction model matches the current Smart Sand Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.93 (+0.52%). The 1-week path is $3.97 (+1.43%). 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 Smart Sand Inc 股票吗？

Smart Sand Inc appears to be a good buy right now due to its current price of $4.62, which is significantly below its 52-week high of $5.92, indicating potential for recovery. Additionally, the company has reported a strong revenue growth of 41.9% year-over-year in Q1 2026, with a gross margin of 16.75%, suggesting improving profitability. However, the main risk is the low RSI of 23.7, indicating it is oversold and may face further short-term volatility.

SND 股价于 Thursday 收于 $3.94，此前下跌 -9.73%

Smart Sand Inc (SND) last closed at $3.9100001, losing -10.53%. These facts feed the 1-day and 1-week SND price prediction above.

分析师一致预期

Smart Sand Inc（SND）：买入 5、持有 4、卖出 0。展望：Buy。

Sell / Buy

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong buy

Sell

Buy

预测驱动因素

Smart Sand Inc（SND）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

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 SND 最接近的股票，按相似度排序。

CELC

86.25%

+5.26%

TSCO

85.83%

-2.87%

FIS

85.73%

-1.69%

PGR

85.29%

+2.73%

STRC

85.02%

-9.56%

SND 季节性分析

Historically the probability of a positive November return for SND is 79.07%. December 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.

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