$19.800
+1.277 (+6.45%)Al cierre
Predicciones de precio
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Predicción y previsión de BETA por análisis de gráficos similares
Alphio's BETA stock price prediction model matches the current BETA Technologies, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $18.89 (-4.59%). The 1-week path is $20.43 (+3.16%). 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 BETA Technologies, Inc.?
BETA Technologies is currently priced at $18.03, which is significantly below the analyst price targets of $30 to $35, indicating potential upside. However, the RSI is at 31.283, suggesting the stock is oversold, and the recent performance shows a 5-day change of -14.06%, indicating downward momentum. The main risk is the negative net income, which was -148.75 million USD in Q2 2026, reflecting ongoing financial struggles. Given these factors, it may be prudent to hold rather than buy at this time, as the stock could stabilize before a potential recovery.
BETA cerró en $19.80 el Friday, tras subir +6.45%
BETA Technologies, Inc. (BETA) last closed at $19.8, gaining +6.45%. These facts feed the 1-day and 1-week BETA price prediction above.
Factores de la previsión
Los factores de la previsión de BETA Technologies, Inc. (BETA) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de BETA, ordenadas por similitud.
Análisis de estacionalidad de BETA
Historically the probability of a positive October return for BETA is 0.00%. January offers the highest probability of a positive month at 50.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.