$3.115
+0.130 (+4.18%)Al cierre
Predicciones de precio
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Predicción y previsión de CIG.C por análisis de gráficos similares
Alphio's CIG.C stock price prediction model matches the current tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.15 (+1.06%). The 1-week path is $3.14 (+0.73%). 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 CIG.C?
Currently, Companhia Energetica De Minas Gerais-CEMIG (CIG.C) is not a strong buy due to its recent performance and technical indicators. The stock has a current price of 2.99, and its RSI is at 46.944, indicating it is neither overbought nor oversold. However, the forward P/E ratio is 13.459, suggesting it may be fairly valued at this time. The stock has experienced a 5-day change of +2.05% but a significant 20-day decline of -6.85%, indicating volatility. The main risk is the recent price drop of 3.86% yesterday, which could signal further weakness in the short term.
CIG.C cerró en $3.12 el Monday, tras subir +4.18%
(CIG.C) last closed at $3.115, gaining +4.18%. These facts feed the 1-day and 1-week CIG.C price prediction above.
Factores de la previsión
Los factores de la previsión de CIG.C (CIG.C) 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.C, ordenadas por similitud.
Análisis de estacionalidad de CIG.C
Historically the probability of a positive September return for CIG.C is 100.00%. September 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.