Zentalis Pharmaceuticals Inc（ZNTL）價格預測

$1.710

-0.049 (-2.84%)收盤時

價格預測

1-Day Price Prediction

+0.41%

1-Week Prediction

-2.85%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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ZNTL 相似圖表分析預測

Alphio's ZNTL stock price prediction model matches the current Zentalis Pharmaceuticals Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.72 (+0.41%). The 1-week path is $1.66 (-2.85%). 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 Zentalis Pharmaceuticals Inc 股票嗎？

Zentalis Pharmaceuticals Inc is not a good buy right now. The current price is $1.85, which is significantly below its 52-week high of $6.95, indicating a substantial decline. The RSI is at 22.255, suggesting the stock is oversold and may not recover soon. Additionally, the company has reported continuous losses, with a net income of -$42,286,000 in Q2 2026 and a forward P/E of 0, reflecting lack of earnings visibility. The main risk is the recent earnings miss, where the EPS was -$0.59, missing estimates by $0.10, which could further undermine investor confidence.

ZNTL 股價於 Thursday 收在 $1.71，此前下跌 -2.84%

Zentalis Pharmaceuticals Inc (ZNTL) last closed at $1.71, losing -2.84%. These facts feed the 1-day and 1-week ZNTL price prediction above.

預測驅動因素

Zentalis Pharmaceuticals Inc（ZNTL）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 ZNTL 最接近的股票，依相似度排序。

COLD

93.59%

+9.31%

ARX

92.15%

+7.04%

CAPR

91.88%

-9.61%

NVO

91.44%

+7.06%

FIGS

91.37%

+7.11%

ZNTL 季節性分析

Historically the probability of a positive November return for ZNTL is 9.30%. January offers the highest probability of a positive month at 36.07%, 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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