Safe Bulkers Inc

Safe Bulkers Inc(SB)の株価予測

$8.050

+0.226 (+2.81%)終値時点

価格予想

1-Day Price Prediction
+1.43%
1-Week Prediction
+5.75%
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 SB の予測・予想

Alphio's SB stock price prediction model matches the current Safe Bulkers Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.17 (+1.43%). The 1-week path is $8.51 (+5.75%). 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.

Safe Bulkers Inc 株は買うべき?

Safe Bulkers Inc is currently not a strong buy due to its low RSI of 24.49, indicating oversold conditions, and a recent 5-day price drop of 8.21%. However, the stock has shown a remarkable year-to-date gain of 62.11%, suggesting potential for recovery. The forward P/E ratio of 2.10 indicates that the stock may be undervalued, but the recent volatility and negative sentiment make it a risky buy at this time.

SB の株価は Wednesday に $8.05 で引け、その前に上昇 +2.81%

Safe Bulkers Inc (SB) last closed at $8.05, gaining +2.81%. These facts feed the 1-day and 1-week SB price prediction above.

アナリストのコンセンサス

Safe Bulkers Inc(SB):買い 3、中立 5、売り 1。見通し:Hold。

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

Strong sellSellNeutralBuyStrong buy
Buy
Sell
1
Buy
3

予想の要因

Safe Bulkers Inc(SB)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

Negative

Bearish

SMA 200

Positive

Bullish

類似チャートパターン

直近の値動きが SB に最も近い銘柄を、類似度順に表示します。

SB の季節性分析

Historically the probability of a positive October return for SB is 100.00%. March 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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