SkyWest Inc

SkyWest Inc(SKYW)の株価予測

$91.510

-1.720 (-1.88%)終値時点

価格予想

1-Day Price Prediction
+2.28%
1-Week Prediction
-5.41%
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 SKYW の予測・予想

Alphio's SKYW stock price prediction model matches the current SkyWest Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $93.60 (+2.28%). The 1-week path is $86.56 (-5.41%). 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.

SkyWest Inc 株は買うべき?

SkyWest Inc is currently not a strong buy due to recent executive sell-offs and declining net income, despite a low forward P/E of 9.52 and a gross margin of 61.13%. The stock has seen a 5.19% drop over the last 5 days and a 9.58% decline year-to-date, indicating potential volatility. However, the upcoming earnings report on October 29 could provide clarity on future performance, making it prudent to hold for now.

SKYW の株価は Friday に $91.51 で引け、その前に下落 -1.88%

SkyWest Inc (SKYW) last closed at $91.51, losing -1.88%. These facts feed the 1-day and 1-week SKYW price prediction above.

アナリストのコンセンサス

SkyWest Inc(SKYW):買い 4、中立 2、売り 0。見通し: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
4

予想の要因

SkyWest Inc(SKYW)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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

類似チャートパターン

直近の値動きが SKYW に最も近い銘柄を、類似度順に表示します。

SKYW の季節性分析

Historically the probability of a positive October return for SKYW is 46.55%. August offers the highest probability of a positive month at 90.62%, while March 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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