$1.030
-0.020 (-1.90%)Al cierre
Predicciones de precio
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Predicción y previsión de BATL por análisis de gráficos similares
Alphio's BATL stock price prediction model matches the current Battalion Oil Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.03 (-0.15%). The 1-week path is $1.01 (-2.07%). 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 Battalion Oil Corp?
Battalion Oil Corp (BATL) is a good buy right now due to its recent insider buying activity and potential upside from rising oil prices. The stock is currently trading at $1.01, which is significantly lower than its 52-week high of $29.70, indicating a potential for recovery. Additionally, the gross margin improved to 29.19% in Q2 2026, suggesting better profitability. However, the main risk is the negative earnings per share (EPS) of -3.72 in Q1 2026, which indicates ongoing financial challenges.
BATL cerró en $1.03 el Wednesday, tras bajar -1.90%
Battalion Oil Corp (BATL) last closed at $1.03, gaining +0.00%. These facts feed the 1-day and 1-week BATL price prediction above.
Factores de la previsión
Los factores de la previsión de Battalion Oil Corp (BATL) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de BATL, ordenadas por similitud.
Análisis de estacionalidad de BATL
Historically the probability of a positive October return for BATL is 0.00%. January offers the highest probability of a positive month at 52.46%, while October 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.