Cresud SACIF y A

Predicción y previsión de precio de Cresud SACIF y A (CRESY)

$9.520

-0.366 (-3.84%)Al cierre

Predicciones de precio

1-Day Price Prediction
-1.20%
1-Week Prediction
+1.78%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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Ábrelo en la app para desbloquear previsiones a más largo plazo.

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Predicción y previsión de CRESY por análisis de gráficos similares

Alphio's CRESY stock price prediction model matches the current Cresud SACIF y A tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.41 (-1.20%). The 1-week path is $9.69 (+1.78%). 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.

CRESY cerró en $9.52 el Tuesday, tras bajar -3.84%

Cresud SACIF y A (CRESY) last closed at $9.5200005, losing -3.84%. These facts feed the 1-day and 1-week CRESY price prediction above.

Consenso de analistas

Cresud SACIF y A (CRESY): 1 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
Neutral
Sell
0
Buy
1

Factores de la previsión

Los factores de la previsión de Cresud SACIF y A (CRESY) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Patrones gráficos similares

Acciones cuya trayectoria reciente más se parece a la de CRESY, ordenadas por similitud.

Análisis de estacionalidad de CRESY

Historically the probability of a positive November return for CRESY is 48.78%. December offers the highest probability of a positive month at 48.84%, while July 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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