$25.110
+0.151 (+0.60%)Al cierre
Predicciones de precio
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Predicción y previsión de CDLR por análisis de gráficos similares
Alphio's CDLR stock price prediction model matches the current Cadeler A/S tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $24.75 (-1.42%). The 1-week path is $26.35 (+4.93%). 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 Cadeler A/S?
Cadeler A/S (CDLR) is a good buy right now due to its strong financial performance, highlighted by a remarkable 432% year-over-year revenue growth in Q2 2026, and a current price of $25.11, which is well-positioned within its 52-week range of $15.37 to $30.01. The RSI of 87.44 suggests that the stock is currently overbought, but the strong backlog and positive earnings momentum provide a compelling case for long-term investment. The main risk is the stock's current price being below its 200-day moving average, indicating potential downward pressure in the short term.
CDLR cerró en $25.11 el Friday, tras subir +0.60%
Cadeler A/S (CDLR) last closed at $25.11, gaining +0.60%. These facts feed the 1-day and 1-week CDLR price prediction above.
Factores de la previsión
Los factores de la previsión de Cadeler A/S (CDLR) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de CDLR, ordenadas por similitud.
Análisis de estacionalidad de CDLR
Historically the probability of a positive October return for CDLR is 63.49%. August offers the highest probability of a positive month at 67.19%, while March 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.