Magic Software Enterprises Ltd

Predicción y previsión de precio de Magic Software Enterprises Ltd (MGIC)

$17.380

-1.809 (-10.41%)Al cierre

Predicciones de precio

1-Month Prediction
2026 Prediction
2030 Prediction

Ábrelo en la app para desbloquear previsiones a más largo plazo.

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¿Debería comprar acciones de Magic Software Enterprises Ltd?

Magic Software Enterprises Ltd (MGIC) is not a strong buy at the moment for a beginner investor with a long-term strategy and $50,000-$100,000 available for investment. While the company has shown positive financial growth in the latest quarter, technical indicators and trading sentiment do not currently support a strong entry point. The lack of significant trading signals, neutral insider and hedge fund activity, and absence of major positive catalysts suggest holding off on buying this stock until more favorable conditions arise.

MGIC cerró en $17.38 el Monday, tras bajar -10.41%

Magic Software Enterprises Ltd (MGIC) last closed at $17.38, losing -10.41%. These facts feed the 1-day and 1-week MGIC price prediction above.

Consenso de analistas

Magic Software Enterprises Ltd (MGIC): 3 comprar, 0 mantener, 0 vender. Perspectiva: Strong Buy.

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Buy
Sell
0
Buy
3

Factores de la previsión

Los factores de la previsión de Magic Software Enterprises Ltd (MGIC) combinan patrones gráficos similares, estacionalidad y medias móviles.

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Análisis de estacionalidad de MGIC

Historically the probability of a positive September return for MGIC is 100.00%. April 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.

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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.

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