NRG Energy Inc

NRG Energy Inc(NRG)の株価予測

$103.750

+0.903 (+0.87%)終値時点

価格予想

1-Day Price Prediction
+3.69%
1-Week Prediction
+3.58%
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 NRG の予測・予想

Alphio's NRG stock price prediction model matches the current NRG Energy Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $107.58 (+3.69%). The 1-week path is $107.46 (+3.58%). 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.

NRG Energy Inc 株は買うべき?

NRG Energy Inc is currently priced at $107.97, which is significantly below the analyst price target of $221, indicating potential upside. However, the RSI is at 68.38, suggesting that the stock is nearing overbought territory, which could limit short-term gains. Additionally, insider selling has surged by 19105.47%, indicating a lack of confidence from insiders, which is a significant risk.

NRG の株価は Friday に $103.75 で引け、その前に上昇 +0.87%

NRG Energy Inc (NRG) last closed at $103.75, gaining +0.87%. These facts feed the 1-day and 1-week NRG price prediction above.

アナリストのコンセンサス

NRG Energy Inc(NRG):買い 8、中立 1、売り 0。見通し:Strong 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
8

予想の要因

NRG Energy Inc(NRG)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

Negative

Bearish

類似チャートパターン

直近の値動きが NRG に最も近い銘柄を、類似度順に表示します。

NRG の季節性分析

Historically the probability of a positive October return for NRG is 79.31%. November 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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