Glass House Brands Inc

Predicción y previsión de precio de Glass House Brands Inc (GLAS)

$2.140

-0.131 (-6.14%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.23%
1-Week Prediction
+3.10%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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Predicción y previsión de GLAS por análisis de gráficos similares

Alphio's GLAS stock price prediction model matches the current Glass House Brands Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.14 (+0.23%). The 1-week path is $2.21 (+3.10%). 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 Glass House Brands Inc?

Given the current price of $3.19, the stock has seen a significant decline of 74.68% year-to-date. The RSI is extremely low at 3.639, indicating oversold conditions, but the forward P/E ratio is high at 31.4465, suggesting that the stock may be overvalued relative to its earnings potential. The gross margin has also dropped to 26.22%, down from 46.81% in the previous year, highlighting deteriorating profitability. While there is potential for recovery, the risks associated with persistent net losses and high reliance on external capital make this a sell for now.

GLAS cerró en $2.14 el Friday, tras bajar -6.14%

Glass House Brands Inc (GLAS) last closed at $2.14, losing -6.14%. These facts feed the 1-day and 1-week GLAS price prediction above.

Factores de la previsión

Los factores de la previsión de Glass House Brands Inc (GLAS) 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 GLAS, ordenadas por similitud.

Análisis de estacionalidad de GLAS

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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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