$38.970
-0.031 (-0.08%)Al cierre
Predicciones de precio
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Predicción y previsión de IX por análisis de gráficos similares
Alphio's IX stock price prediction model matches the current ORIX Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $39.35 (+0.49%). The 1-week path is $38.89 (-0.69%). 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 ORIX Corp?
Orix Corp is a good buy right now due to its strong revenue growth and favorable valuation metrics. The current price is $39.00, with a forward P/E of 14.245, indicating potential for earnings growth. Additionally, the year-to-date change is +32.25%, showcasing strong performance. However, the net margin has decreased to 6.82%, which is a risk to consider.
IX cerró en $38.97 el Monday, tras bajar -0.08%
ORIX Corp (IX) last closed at $39.16, gaining +0.49%. These facts feed the 1-day and 1-week IX price prediction above.
Consenso de analistas
ORIX Corp (IX): 1 comprar, 0 mantener, 0 vender. Perspectiva: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de ORIX Corp (IX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de IX, ordenadas por similitud.
Análisis de estacionalidad de IX
Historically the probability of a positive September return for IX is 100.00%. July offers the highest probability of a positive month at 100.00%, 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.