$13.650
+0.508 (+3.72%)Al cierre
Predicciones de precio
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Predicción y previsión de KLAR por análisis de gráficos similares
Alphio's KLAR stock price prediction model matches the current Klarna Group PLC tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $13.62 (-0.20%). The 1-week path is $14.00 (+2.59%). 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.
¿Debería comprar acciones de Klarna Group PLC?
Klarna Group PLC is currently not a strong buy due to its recent performance and analyst sentiment. The stock is priced at $12.81, which is below the average analyst price target of $16, indicating limited upside potential. Additionally, the RSI is at 34.848, suggesting that the stock is oversold and may be due for a rebound, but the overall trend remains negative with a year-to-date change of -55.16%. The main risk is the net loss of $273 million reported for 2025, which highlights ongoing profitability challenges.
KLAR cerró en $13.65 el Thursday, tras subir +3.72%
Klarna Group PLC (KLAR) last closed at $13.6499996, gaining +3.72%. These facts feed the 1-day and 1-week KLAR price prediction above.
Factores de la previsión
Los factores de la previsión de Klarna Group PLC (KLAR) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de KLAR, ordenadas por similitud.
Análisis de estacionalidad de KLAR
Historically the probability of a positive October return for KLAR is 13.64%. January offers the highest probability of a positive month at 55.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.