Vistra Corp

Vistra Corp(VST)价格预测

$152.020

-2.113 (-1.39%)收盘时

价格预测

1-Day Price Prediction
-0.06%
1-Week Prediction
-4.13%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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在 App 中打开以解锁更长周期的预测。

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VST 相似图表分析预测

Alphio's VST stock price prediction model matches the current Vistra Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $151.93 (-0.06%). The 1-week path is $145.74 (-4.13%). 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 Vistra Corp 股票吗?

Vistra Corp is a good buy right now due to its current price of $152.02, which is significantly lower than the analyst price targets, including $210 from BMO Capital and $202 from Siebert Williams. Additionally, the company has a strong forward P/E ratio of 13.33, indicating potential for growth compared to its current valuation. However, the main risk is the 32-gigawatt electricity shortfall predicted by analysts for U.S. data centers by 2028, which could impact operational efficiency.

VST 股价于 Friday 收于 $152.02,此前下跌 -1.39%

Vistra Corp (VST) last closed at $152.02, losing -1.39%. These facts feed the 1-day and 1-week VST price prediction above.

分析师一致预期

Vistra Corp(VST):买入 5、持有 2、卖出 0。展望:Buy。

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

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
5

预测驱动因素

Vistra Corp(VST)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

Positive

Bullish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 VST 最接近的股票,按相似度排序。

VST 季节性分析

Historically the probability of a positive October return for VST is 79.66%. November offers the highest probability of a positive month at 100.00%, 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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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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