Freecast Inc

Predicción y previsión de precio de Freecast Inc (CAST)

$1.330

+0.010 (+0.76%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.47%
1-Week Prediction
+2.17%
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 CAST por análisis de gráficos similares

Alphio's CAST stock price prediction model matches the current Freecast Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.34 (+0.47%). The 1-week path is $1.36 (+2.17%). 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 Freecast Inc?

Freecast, Inc. (CAST) appears to be a good buy right now due to its recent positive price movement and strong gross margin. The stock has increased by 17.31% over the past five days, indicating a potential upward trend. Additionally, the gross margin for the most recent quarter is an impressive 99.61%, suggesting that the company is becoming more efficient in generating profit from its revenues. However, the main risk is the current net income, which reported a loss of $14,275,992 for the last quarter, indicating ongoing financial challenges.

CAST cerró en $1.33 el Thursday, tras subir +0.76%

Freecast Inc (CAST) last closed at $1.33, gaining +0.76%. These facts feed the 1-day and 1-week CAST price prediction above.

Factores de la previsión

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

Análisis de estacionalidad de CAST

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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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