SentinelOne Inc（S）價格預測

$24.000

+1.601 (+6.67%)收盤時

價格預測

1-Day Price Prediction

-0.47%

1-Week Prediction

+1.25%

1-Month Prediction

—

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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S 相似圖表分析預測

Alphio's S stock price prediction model matches the current SentinelOne Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.89 (-0.47%). The 1-week path is $24.30 (+1.25%). 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 SentinelOne Inc 股票嗎？

SentinelOne Inc is currently not a strong buy due to its low Relative Strength Index (RSI) of 25.581, indicating oversold conditions, and a significant recent price drop of 17.85% over the last five days. However, the company's revenue growth of 21% in Q2 and a forward P/E ratio of 75.188 suggest potential for recovery. The main risk is the insider selling activity, which has increased by 847.69% over the last month, indicating a lack of confidence from current shareholders.

S 股價於 Friday 收在 $24.00，此前上漲 +6.67%

SentinelOne Inc (S) last closed at $24, gaining +6.67%. These facts feed the 1-day and 1-week S price prediction above.

分析師一致預期

SentinelOne Inc（S）：買進 2、持有 18、賣出 6。展望：Sell。

Sell / Buy

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

Strong sell

Sell

Buy

預測驅動因素

SentinelOne Inc（S）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

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 S 最接近的股票，依相似度排序。

WHR

86.86%

-6.11%

CRK

85.98%

-4.03%

MLYS

85.96%

+12.01%

CHTR

85.83%

-1.28%

85.82%

-89.00%

S 季節性分析

Historically the probability of a positive October return for S is 44.44%. February offers the highest probability of a positive month at 55.17%, while April 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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