$17.630
+0.430 (+2.44%)Al cierre
Predicciones de precio
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Predicción y previsión de MSB por análisis de gráficos similares
Alphio's MSB stock price prediction model matches the current Mesabi Trust tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $17.45 (-1.03%). The 1-week path is $17.55 (-0.43%). 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 Mesabi Trust?
Mesabi Trust is not a good buy right now due to its current price of $17.18, which is significantly below its 52-week high of $42.38, indicating a substantial decline of 59.5%. Additionally, the RSI is at 26.138, suggesting that the stock is oversold, but this could indicate continued weakness rather than an immediate buying opportunity. The forward P/E ratio of 12.77 is attractive, but the recent performance shows a year-to-date change of -56.59%, reflecting ongoing challenges. The main risk is the negative earnings trend, with the last reported EPS being -0.01, indicating potential ongoing losses.
MSB cerró en $17.63 el Wednesday, tras subir +2.44%
Mesabi Trust (MSB) last closed at $17.6299992, gaining +2.44%. These facts feed the 1-day and 1-week MSB price prediction above.
Factores de la previsión
Los factores de la previsión de Mesabi Trust (MSB) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de MSB, ordenadas por similitud.
Análisis de estacionalidad de MSB
Historically the probability of a positive November return for MSB is 90.70%. December offers the highest probability of a positive month at 100.00%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.