$28.730
-0.210 (-0.73%)Al cierre
Predicciones de precio
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Predicción y previsión de BLSH por análisis de gráficos similares
Alphio's BLSH stock price prediction model matches the current Bullish tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $28.54 (-0.67%). The 1-week path is $28.46 (-0.93%). 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.
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Given the current price of $28.21, the stock is not a good buy right now. The RSI is at 33.777, indicating it is oversold, but the forward P/E ratio is extremely high at 58.82, suggesting that the stock may be overvalued relative to its earnings potential. Additionally, the stock has seen a significant decline of 49.90% over the past year, which raises concerns about its long-term viability. The main risk is the negative sentiment reflected in the recent analyst ratings, with Wells Fargo maintaining an Equal Weight rating and a price target of $38, indicating limited upside from the current price.
BLSH cerró en $28.73 el Wednesday, tras bajar -0.73%
Bullish (BLSH) last closed at $28.7299995, losing -0.73%. These facts feed the 1-day and 1-week BLSH price prediction above.
Factores de la previsión
Los factores de la previsión de Bullish (BLSH) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de BLSH, ordenadas por similitud.
Análisis de estacionalidad de BLSH
Historically the probability of a positive October return for BLSH is 53.49%. December offers the highest probability of a positive month at 100.00%, 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.