BOXABL Inc

Predicción y previsión de precio de BOXABL Inc (BXBL)

$2.950

+0.147 (+4.98%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.01%
1-Week Prediction
+0.04%
1-Month Prediction
—
2026 Prediction
—
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 BXBL por análisis de gráficos similares

Alphio's BXBL stock price prediction model matches the current BOXABL Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.00 (+0.01%). The 1-week path is $3.00 (+0.04%). 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 BOXABL Inc?

Boxabl Inc. is not a good buy right now due to its significant financial struggles, including a current price of 3.00 USD and a year-to-date change of -73.91%. The gross margin is currently at 0.00%, indicating no profitability, and the forward P/E ratio is 0, suggesting a lack of earnings expectations. The main risk is the high volatility reflected in the RSI of 45.723, which indicates a neutral momentum, and the stock has lost over 25% in the last 20 days. Therefore, it is advisable to hold off on purchasing until there are clearer signs of recovery.

BXBL cerró en $2.95 el Thursday, tras subir +4.98%

BOXABL Inc (BXBL) last closed at $3, gaining +1.69%. These facts feed the 1-day and 1-week BXBL price prediction above.

Factores de la previsión

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

Análisis de estacionalidad de BXBL

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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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