MNTN Inc

Predicción y previsión de precio de MNTN Inc (MNTN)

$9.400

-0.272 (-2.89%)Al cierre

Predicciones de precio

1-Day Price Prediction
+1.26%
1-Week Prediction
+6.10%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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Ábrelo en la app para desbloquear previsiones a más largo plazo.

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Predicción y previsión de MNTN por análisis de gráficos similares

Alphio's MNTN stock price prediction model matches the current MNTN Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.52 (+1.26%). The 1-week path is $9.97 (+6.10%). 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 MNTN Inc?

MNTN is not a strong buy right now due to its current price of $9.68 and a low RSI of 39.65, indicating potential weakness. The forward P/E ratio of 7.79 suggests it may be undervalued, but the recent 20-day change of -12.08% raises concerns about short-term performance.

MNTN cerró en $9.40 el Monday, tras bajar -2.89%

MNTN Inc (MNTN) last closed at $9.3999996, losing -2.89%. These facts feed the 1-day and 1-week MNTN price prediction above.

Factores de la previsión

Los factores de la previsión de MNTN Inc (MNTN) 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 MNTN, ordenadas por similitud.

Análisis de estacionalidad de MNTN

Historically the probability of a positive October return for MNTN is 0.00%. August offers the highest probability of a positive month at 38.10%, while February 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.

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