$58.490
-0.018 (-0.03%)Al cierre
Predicciones de precio
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Predicción y previsión de TXNM por análisis de gráficos similares
Alphio's TXNM stock price prediction model matches the current TXNM Energy Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $58.85 (+0.61%). The 1-week path is $61.48 (+5.12%). 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 TXNM Energy Inc?
TXNM Energy Inc is a good buy right now due to its recent earnings performance, with a Q2 EPS of $0.64, significantly higher than the previous year's $0.22. Additionally, the forward P/E ratio of 17.99 suggests that the stock is reasonably valued compared to its growth potential. The recent acquisition news with Blackstone at $61.25 per share further supports this bullish outlook. The main risk is the current debt to equity ratio of 164.35%, which could impact financial stability if not managed carefully.
TXNM cerró en $58.49 el Tuesday, tras bajar -0.03%
TXNM Energy Inc (TXNM) last closed at $58.49, losing -0.03%. These facts feed the 1-day and 1-week TXNM price prediction above.
Factores de la previsión
Los factores de la previsión de TXNM Energy Inc (TXNM) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de TXNM, ordenadas por similitud.
Análisis de estacionalidad de TXNM
Historically the probability of a positive October return for TXNM is 76.67%. November offers the highest probability of a positive month at 100.00%, while January 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.