$2.280
0.000 (0.00%)Al cierre
Predicciones de precio
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Predicción y previsión de CIG por análisis de gráficos similares
Alphio's CIG stock price prediction model matches the current Energy of Minas Gerais Co tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.26 (-1.78%). The 1-week path is $2.28 (-1.06%). 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 Energy of Minas Gerais Co?
CIG is a good buy right now due to its current price of 2.32, a forward P/E of 9.09, and a recent 20-day change of +8.41%, suggesting upward momentum. The company's strong EBITDA growth of 9.3% year-over-year in Q2 2026 further supports this recommendation. However, the main risk is the recent 5-day change of -3.33%, indicating short-term volatility.
CIG cerró en $2.28 el Thursday, tras subir 0.00%
Energy of Minas Gerais Co (CIG) last closed at $2.3, gaining +0.88%. These facts feed the 1-day and 1-week CIG price prediction above.
Consenso de analistas
Energy of Minas Gerais Co (CIG): 2 comprar, 1 mantener, 0 vender. Perspectiva: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de Energy of Minas Gerais Co (CIG) 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 CIG, ordenadas por similitud.
Análisis de estacionalidad de CIG
Historically the probability of a positive October return for CIG is 100.00%. July 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.