$19.100
+0.223 (+1.17%)收盤時
技術面情緒
綜合共識
技術分析共識
移動平均線共識
Sempra（SREA）的 MACD 指標為 -0.10，顯示 SREA 為 Sell。
Sempra（SREA）的 20 日簡單移動平均為 18.80，而 Sempra（SREA）股價為 $—，結果為 Buy。
Sempra（SREA）的 60 日簡單移動平均為 19.41，而 Sempra（SREA）股價為 $—，結果為 Sell。
SREA 技術分析
AI 技術分析 SREAAs of 2026-11-07, the technical board for Sempra (SREA) reads sell: 4 indicators are flashing buy, 5 are indicating sell, and 4 are neutral. Price at $19.10 sits below the 60-day and 200-day moving averages and above the 5-day, 10-day and 20-day.
Momentum readings: RSI stands at 54.904, MACD stands at -0.103 (Sell), Stochastic %K stands at 63.141, Stochastic %D stands at 45.316 and CCI stands at 95.392.
SREA trades below the 60-day SMA (19.41) and below the 200-day SMA (20.96). Immediate resistance sits at Classic R1 19.10, then R2 19.51. Support sits at Classic S1 18.34, then S2 17.99.
Sempra（SREA）支撐與阻力位
Sempra（SREA）技術指標
2026-11-07
| 名稱 | 數值 |
|---|---|
| RSI_14 | 54.904 |
| STOCHk_14_3_3 | 63.141 |
| STOCHd_14_3_3 | 45.316 |
| CCI_20 | 95.392 |
| AO_5_34 | -0.130 |
| MOM_10 | 0.270 |
| MACD_12_26_9 | -0.103 |
Sempra（SREA）的 Relative Strength Index (RSI_14) 為 54.904，形成中性訊號。
Sempra（SREA）的 Stochastic %K 為 63.141，形成中性訊號。
Sempra（SREA）的 Stochastic %D 為 45.316，形成中性訊號。
Sempra（SREA）的 CCI_20 為 95.392，形成中性訊號。
Sempra（SREA）的 Awesome Oscillator (AO) 為 -0.130，形成 Sell 訊號。
Sempra（SREA）的 Momentum (MOM) 為 0.270，形成 Buy 訊號。
Sempra（SREA）的 Moving Average Convergence Divergence (MACD) 為 -0.103，形成 Sell 訊號。
Sempra（SREA）移動平均線
2026-11-07
| 週期 | 簡單 | 訊號 |
|---|---|---|
| MA_5 | 18.804 | Buy |
| MA_10 | 18.687 | Buy |
| MA_20 | 18.803 | Buy |
| MA_60 | 19.409 | Sell |
| MA_200 | 20.964 | Sell |
| MA_250 | 21.242 | Sell |
Sempra（SREA）的 5 日 簡單移動平均為 18.804，而 Sempra（SREA）股價為 $，結果為 Buy。
Sempra（SREA）的 10 日 簡單移動平均為 18.687，而 Sempra（SREA）股價為 $，結果為 Buy。
Sempra（SREA）的 20 日 簡單移動平均為 18.803，而 Sempra（SREA）股價為 $，結果為 Buy。
Sempra（SREA）的 60 日 簡單移動平均為 19.409，而 Sempra（SREA）股價為 $，結果為 Sell。
Sempra（SREA）的 200 日 簡單移動平均為 20.964，而 Sempra（SREA）股價為 $，結果為 Sell。
Sempra（SREA）的 250 日 簡單移動平均為 21.242，而 Sempra（SREA）股價為 $，結果為 Sell。
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本頁僅供研究參考，不構成投資建議。模型可能出錯。過往表現不代表未來結果。