$223.330
+9.961 (+4.46%)Al cierre
Predicciones de precio
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Predicción y previsión de MORN por análisis de gráficos similares
Alphio's MORN stock price prediction model matches the current Morningstar Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $226.33 (+0.64%). The 1-week path is $249.31 (+10.86%). 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.
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Morningstar Inc is currently a hold. The stock is priced at $207.37, which is near its 20-day simple moving average of $197.70, indicating a strong upward trend. However, the RSI is at 68.24, suggesting it is nearing overbought territory. The forward P/E ratio stands at 19.80, which is relatively high compared to its historical averages, indicating potential overvaluation. Furthermore, insider selling has increased by 1983.31% recently, which raises concerns about management's confidence in the stock. The main risk is the high debt-to-equity ratio of 167.35%, which could impact financial stability if market conditions worsen.
MORN cerró en $223.33 el Thursday, tras subir +4.46%
Morningstar Inc (MORN) last closed at $224.89, gaining +0.70%. These facts feed the 1-day and 1-week MORN price prediction above.
Factores de la previsión
Los factores de la previsión de Morningstar Inc (MORN) 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 MORN, ordenadas por similitud.
Análisis de estacionalidad de MORN
Historically the probability of a positive October return for MORN is 42.86%. November offers the highest probability of a positive month at 51.28%, 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.