Howard Hughes Holdings Inc

Howard Hughes Holdings Inc(HHH)の株価予測

$73.805

+0.561 (+0.76%)終値時点

価格予想

1-Day Price Prediction
+0.45%
1-Week Prediction
+2.86%
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 HHH の予測・予想

Alphio's HHH stock price prediction model matches the current Howard Hughes Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $74.14 (+0.45%). The 1-week path is $75.92 (+2.86%). 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.

Howard Hughes Holdings Inc 株は買うべき?

Howard Hughes Holdings Inc is a good buy right now due to its current price of $70.19, which is below the average analyst target of $81. This suggests significant upside potential. Additionally, the company has shown a strong recent performance with a 5-day change of +2.18% and a notable increase in hedge fund buying activity of 1028.60% over the last quarter, indicating strong institutional interest. However, the main risk is the forward P/E ratio of 1250, which suggests that valuation concerns may arise if earnings do not meet expectations.

HHH の株価は Wednesday に $73.81 で引け、その前に上昇 +0.76%

Howard Hughes Holdings Inc (HHH) last closed at $73.8050003, gaining +0.76%. These facts feed the 1-day and 1-week HHH price prediction above.

予想の要因

Howard Hughes Holdings Inc(HHH)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

Negative

Bearish

Seasonality

Negative

Bearish

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 HHH に最も近い銘柄を、類似度順に表示します。

HHH の季節性分析

Historically the probability of a positive October return for HHH is 34.85%. November offers the highest probability of a positive month at 84.62%, 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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