Snap-On Inc（SNA）價格預測

$357.020

+0.571 (+0.16%)收盤時

價格預測

1-Day Price Prediction

-0.94%

1-Week Prediction

-0.10%

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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SNA 相似圖表分析預測

Alphio's SNA stock price prediction model matches the current Snap-On Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $354.52 (-0.94%). The 1-week path is $357.52 (-0.10%). 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 Snap-On Inc 股票嗎？

Currently, Snap-On Inc. is not a strong buy due to its recent performance and technical indicators. The stock is priced at $357.02, with an RSI of 31.167 indicating it is oversold, but the forward P/E ratio is 17.51, suggesting it is fairly valued. The recent earnings report showed a 5.5% negative surprise, which may concern investors. The main risk is the 3.3% decline over the last 20 days, reflecting potential weakness in the stock's momentum.

SNA 股價於 Friday 收在 $357.02，此前上漲 +0.16%

Snap-On Inc (SNA) last closed at $357.8800049, gaining +0.24%. These facts feed the 1-day and 1-week SNA price prediction above.

分析師一致預期

Snap-On Inc（SNA）：買進 7、持有 2、賣出 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

預測驅動因素

Snap-On Inc（SNA）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

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 SNA 最接近的股票，依相似度排序。

GDDY

92.37%

-3.39%

VITL

92.08%

+19.91%

MAN

91.61%

+5.41%

MSTR

91.54%

+24.31%

LUMN

91.34%

-9.98%

SNA 季節性分析

Historically the probability of a positive October return for SNA is 82.81%. December offers the highest probability of a positive month at 100.00%, while May 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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