$12.810
-0.406 (-3.17%)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 $12.42 (-3.08%). The 1-week path is $12.55 (-2.02%). 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 not a strong buy at this moment due to its current price of $13.02, which is significantly below the analyst price targets of $16 and $18. The RSI is at 41.219, indicating the stock is nearing oversold territory but not yet at a strong buy signal. The company has shown a 27% year-over-year revenue growth in Q2 2026, reaching $1.04 billion, but it also reported a net loss of $273 million for the full year 2025, highlighting ongoing profitability challenges. The main risk is the significant decline in stock performance, with a year-to-date change of -54.43%.
KLAR cerró en $12.81 el Friday, tras bajar -3.17%
Klarna Group PLC (KLAR) last closed at $12.81, losing -3.17%. 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
Bearish
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 15.00%. 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.