Vista Energy SAB de CV

Vista Energy SAB de CV(VIST)の株価予測

$70.140

-0.470 (-0.67%)終値時点

価格予想

1-Day Price Prediction
+0.53%
1-Week Prediction
+4.38%
1-Month Prediction
2026 Prediction
2030 Prediction

アプリで開くと、より長期の予想を確認できます。

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類似チャート分析による VIST の予測・予想

Alphio's VIST stock price prediction model matches the current Vista Energy SAB de CV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $70.51 (+0.53%). The 1-week path is $73.21 (+4.38%). 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.

Vista Energy SAB de CV 株は買うべき?

Vista Energy is a strong buy right now due to its current price of $70.14, which is significantly below analyst price targets ranging from $87 to $115. The company has shown impressive growth with a year-to-date change of +43.70% and a one-year change of +78.88%, indicating strong momentum. Additionally, the RSI is at 55.938, suggesting that the stock is neither overbought nor oversold, which is favorable for long-term investment. However, a potential risk is the recent earnings surprise of -24.44%, which could impact investor sentiment if not addressed in future quarters.

VIST の株価は Friday に $70.14 で引け、その前に下落 -0.67%

Vista Energy SAB de CV (VIST) last closed at $70.14, losing -0.67%. These facts feed the 1-day and 1-week VIST price prediction above.

予想の要因

Vista Energy SAB de CV(VIST)の予想は、類似したチャートパターン・季節性・移動平均を組み合わせています。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

類似チャートパターン

直近の値動きが VIST に最も近い銘柄を、類似度順に表示します。

VIST の季節性分析

Historically the probability of a positive August return for VIST is 66.67%. January offers the highest probability of a positive month at 73.77%, while September 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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本ページは調査目的であり、投資助言ではありません。モデルは誤ることがあります。過去の実績は将来の成果を保証しません。

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