$15.520
-0.779 (-5.02%)Al cierre
Predicciones de precio
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Predicción y previsión de CARL por análisis de gráficos similares
Alphio's CARL stock price prediction model matches the current Carlsmed, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.43 (-0.61%). The 1-week path is $15.98 (+2.94%). 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 Carlsmed, Inc.?
Carlsmed Inc is a good buy right now due to its strong revenue growth and improving gross margins. The current price is $16.88, and the company reported Q2 2026 revenue of $18.9 million, exceeding expectations by $0.95 million, indicating robust market performance. Additionally, the gross margin for Q2 2026 was 76.8%, up from 73.4% in Q2 2025, showcasing effective cost management. However, the main risk is the widening net loss of $10.5 million in Q2 2026, which is higher than the previous year's loss of $6.8 million, indicating ongoing financial pressures as the company expands.
CARL cerró en $15.52 el Thursday, tras bajar -5.02%
Carlsmed, Inc. (CARL) last closed at $15.52, losing -5.02%. These facts feed the 1-day and 1-week CARL price prediction above.
Factores de la previsión
Los factores de la previsión de Carlsmed, Inc. (CARL) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de CARL, ordenadas por similitud.
Análisis de estacionalidad de CARL
Historically the probability of a positive September return for CARL is 25.00%. January offers the highest probability of a positive month at 95.00%, while April 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.