Veru Inc

Veru Inc(VERU)價格預測

$2.120

+0.062 (+2.91%)收盤時

價格預測

1-Day Price Prediction
+2.18%
1-Week Prediction
+2.66%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

在 App 中開啟以解鎖更長週期的預測。

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VERU 相似圖表分析預測

Alphio's VERU stock price prediction model matches the current Veru Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.17 (+2.18%). The 1-week path is $2.18 (+2.66%). 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.

該買進 Veru Inc 股票嗎?

Veru Inc. is a good buy right now, trading at $2.12 with a forward P/E of 117.65, indicating potential growth despite current losses. The RSI is at 37.59, suggesting the stock is oversold, which may present a buying opportunity. The recent news highlights significant clinical progress and a strong cash position of $23.9 million, which supports ongoing R&D. The main risk is the high forward P/E ratio, indicating that the market has high expectations for future earnings growth.

VERU 股價於 Friday 收在 $2.12,此前上漲 +2.91%

Veru Inc (VERU) last closed at $2.1199999, gaining +2.91%. These facts feed the 1-day and 1-week VERU price prediction above.

分析師一致預期

Veru Inc(VERU):買進 1、持有 0、賣出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Neutral
Sell
0
Buy
1

預測驅動因素

Veru Inc(VERU)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 VERU 最接近的股票,依相似度排序。

VERU 季節性分析

Historically the probability of a positive November return for VERU is 20.45%. June offers the highest probability of a positive month at 76.67%, 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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相關文章

本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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