Metals Royalty Company Inc

Predicción y previsión de precio de Metals Royalty Company Inc (TMCR)

$5.670

-0.212 (-3.74%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.12%
1-Week Prediction
+1.32%
1-Month Prediction
2026 Prediction
2030 Prediction

Ábrelo en la app para desbloquear previsiones a más largo plazo.

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Predicción y previsión de TMCR por análisis de gráficos similares

Alphio's TMCR stock price prediction model matches the current Metals Royalty Company Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.68 (+0.12%). The 1-week path is $5.74 (+1.32%). 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 Metals Royalty Company Inc?

Metals Royalty Co Inc. (TMCR) is a good buy right now due to its current price of $6.23, which is significantly below the analyst price target of $10, indicating a potential upside of 60%. Additionally, the company has a positive outlook from Stifel, which highlights its diversified leverage to metal prices without operational costs. The main risk is the negative earnings trend, with a recent EPS of -0.19 in Q1 2026, but the projected trajectory suggests a potential increase of over 647% based on historical patterns.

TMCR cerró en $5.67 el Thursday, tras bajar -3.74%

Metals Royalty Company Inc (TMCR) last closed at $5.67, losing -3.74%. These facts feed the 1-day and 1-week TMCR price prediction above.

Factores de la previsión

Los factores de la previsión de Metals Royalty Company Inc (TMCR) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Patrones gráficos similares

Acciones cuya trayectoria reciente más se parece a la de TMCR, ordenadas por similitud.

Análisis de estacionalidad de TMCR

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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.

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