Citius Oncology Inc

Citius Oncology Inc(CTOR)の株価予測

$0.778

+0.029 (+3.69%)終値時点

価格予想

1-Day Price Prediction
-3.56%
1-Week Prediction
-4.21%
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 CTOR の予測・予想

Alphio's CTOR stock price prediction model matches the current Citius Oncology Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.75 (-3.56%). The 1-week path is $0.74 (-4.21%). 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.

Citius Oncology Inc 株は買うべき?

Citius Oncology Inc (CTOR) presents a compelling buy opportunity right now, primarily driven by its recent positive developments in drug commercialization and strong analyst support. The stock is currently priced at $0.78, with a forward P/E ratio of 35.59, indicating potential growth despite current losses. The gross margin for Q1 2026 stands at an impressive 79.99%, suggesting efficient cost management in its operations. However, the main risk lies in the company's significant net loss of $26.61 million reported in Q2 2026, which could impact its financial stability moving forward.

CTOR の株価は Wednesday に $0.78 で引け、その前に上昇 +3.69%

Citius Oncology Inc (CTOR) last closed at $0.7777, gaining +3.69%. These facts feed the 1-day and 1-week CTOR price prediction above.

予想の要因

Citius Oncology Inc(CTOR)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

Positive

Bullish

SMA 200

Negative

Bearish

類似チャートパターン

直近の値動きが CTOR に最も近い銘柄を、類似度順に表示します。

CTOR の季節性分析

Historically the probability of a positive September return for CTOR is 47.73%. February offers the highest probability of a positive month at 81.03%, while December 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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