Sight Sciences Inc（SGHT）價格預測

$8.990

-0.000 (0.00%)收盤時

價格預測

1-Day Price Prediction

-4.21%

1-Week Prediction

-2.58%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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SGHT 相似圖表分析預測

Alphio's SGHT stock price prediction model matches the current Sight Sciences Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.64 (-4.21%). The 1-week path is $8.79 (-2.58%). 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.

該買進 Sight Sciences Inc 股票嗎？

Sight Sciences Inc (SGHT) appears to be a good buy right now due to its current price of $8.99, which is below the analyst price target of $10 from Citi, indicating potential upside. Additionally, the stock has shown a strong year-to-date change of +20.19% and a significant one-year change of +73.89%, suggesting robust momentum. The recent FDA approval for the TearCare System enhances its market position, which could drive future growth. However, the main risk lies in its negative net income, which was -4.446 million USD in Q2 2026, indicating ongoing financial challenges that investors should monitor closely.

SGHT 股價於 Monday 收在 $8.99，此前上漲 0.00%

Sight Sciences Inc (SGHT) last closed at $9.0200005, gaining +0.33%. These facts feed the 1-day and 1-week SGHT price prediction above.

預測驅動因素

Sight Sciences Inc（SGHT）的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 SGHT 最接近的股票，依相似度排序。

UNH

88.76%

-4.74%

ANF

88.69%

-20.68%

ARI

88.17%

-90.00%

BTE

88.04%

+12.54%

SYRE

87.96%

+17.65%

SGHT 季節性分析

Historically the probability of a positive October return for SGHT is 81.25%. August offers the highest probability of a positive month at 85.94%, while February 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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