Banco Santander Chile

Banco Santander Chile(BSAC)价格预测

$31.780

+0.121 (+0.38%)收盘时

价格预测

1-Day Price Prediction
-0.40%
1-Week Prediction
+4.84%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

在 App 中打开以解锁更长周期的预测。

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BSAC 相似图表分析预测

Alphio's BSAC stock price prediction model matches the current Banco Santander Chile tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $31.65 (-0.40%). The 1-week path is $33.32 (+4.84%). 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 Banco Santander Chile 股票吗?

Banco Santander-Chile is currently a hold. The stock is priced at $31.72, which is above Goldman Sachs' target of $29, indicating potential downside risk. However, the company reported a 40% increase in net income year-over-year, showcasing strong profitability. The RSI is at 30.364, suggesting the stock is oversold, but caution is warranted due to recent downgrades and market volatility.

BSAC 股价于 Tuesday 收于 $31.78,此前上涨 +0.38%

Banco Santander Chile (BSAC) last closed at $31.7800007, gaining +0.38%. These facts feed the 1-day and 1-week BSAC price prediction above.

分析师一致预期

Banco Santander Chile(BSAC):买入 1、持有 6、卖出 2。展望:Sell。

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

Strong sellSellNeutralBuyStrong buy
Neutral
Sell
2
Buy
1

预测驱动因素

Banco Santander Chile(BSAC)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 BSAC 最接近的股票,按相似度排序。

BSAC 季节性分析

Historically the probability of a positive October return for BSAC is 100.00%. August 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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本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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