$27.730
-1.040 (-3.75%)At close
Price Predictions
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GLPG Prediction & Forecast by Similar Chart Analysis
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.
Should I Buy Galapagos NV Stock?
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 stock price ended at $27.73 on Thursday, after losing -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.
Analyst Consensus
Galapagos NV (GLPG): 6 buy, 2 hold, 0 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Galapagos NV (GLPG) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bearish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches GLPG, ranked by similarity.
Seasonality analysis for GLPG
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.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.