Galapagos NV

Galapagos NV(GLPG)價格預測

$27.730

-1.040 (-3.75%)收盤時

價格預測

1-Day Price Prediction
-0.48%
1-Week Prediction
+1.41%
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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GLPG 相似圖表分析預測

Alphio's GLPG stock price prediction model matches the current Galapagos NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $27.60 (-0.48%). The 1-week path is $28.12 (+1.41%). 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.

該買進 Galapagos NV 股票嗎?

Galapagos NV is not a good buy right now for a Beginner investor with a long-term focus and $50,000-$100,000 available. The stock is trading below key moving averages, lacks a current proprietary buy signal, and options sentiment is extremely bearish. While the latest quarter showed explosive revenue and earnings growth, the current setup does not offer a clean long-term entry today. I would not buy it now; I would wait for a clearer technical reversal and better sentiment.

GLPG 股價於 Thursday 收在 $27.73,此前下跌 -3.75%

Galapagos NV (GLPG) last closed at $27.73, losing -3.75%. These facts feed the 1-day and 1-week GLPG price prediction above.

分析師一致預期

Galapagos NV(GLPG):買進 6、持有 2、賣出 0。展望: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
6

預測驅動因素

Galapagos NV(GLPG)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

Negative

Bearish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 GLPG 最接近的股票,依相似度排序。

GLPG 季節性分析

Historically the probability of a positive August return for GLPG is 48.84%. September offers the highest probability of a positive month at 51.22%, while April 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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