Gauzy Ltd

Predicción y previsión de precio de Gauzy Ltd (GAUZ)

$5.950

-0.528 (-8.88%)Al cierre

Predicciones de precio

1-Day Price Prediction
-2.65%
1-Week Prediction
-0.77%
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 GAUZ por análisis de gráficos similares

Alphio's GAUZ stock price prediction model matches the current Gauzy Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $5.79 (-2.65%). The 1-week path is $5.90 (-0.77%). 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 Gauzy Ltd?

Gauzy Ltd is not a good buy right now due to its current price of $5.95, a year-to-date change of -75.00%, and a concerning forward P/E ratio of 0, indicating no expected earnings growth. The company also faces a Nasdaq delisting risk due to trading below the $1 minimum bid price, which poses a significant risk to investors.

GAUZ cerró en $5.95 el Friday, tras bajar -8.88%

Gauzy Ltd (GAUZ) last closed at $5.9499998, losing -8.88%. These facts feed the 1-day and 1-week GAUZ price prediction above.

Factores de la previsión

Los factores de la previsión de Gauzy Ltd (GAUZ) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

Patrones gráficos similares

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

Análisis de estacionalidad de GAUZ

Historically the probability of a positive November return for GAUZ is 0.00%. January offers the highest probability of a positive month at 50.00%, while May 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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