Loop Industries Inc

Predicción y previsión de precio de Loop Industries Inc (LOOP)

$0.498

+0.016 (+3.30%)Al cierre

Predicciones de precio

1-Day Price Prediction
+2.37%
1-Week Prediction
+6.60%
1-Month Prediction
2026 Prediction
2030 Prediction

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

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Predicción y previsión de LOOP por análisis de gráficos similares

Alphio's LOOP stock price prediction model matches the current Loop Industries Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.51 (+2.37%). The 1-week path is $0.53 (+6.60%). 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 Loop Industries Inc?

Loop Industries Inc is not a good buy right now due to its current price of 0.5222, a very low RSI of 12.882 indicating oversold conditions, and a staggering year-to-date change of -48.55%. These figures reflect severe financial distress and market challenges.

LOOP cerró en $0.50 el Tuesday, tras subir +3.30%

Loop Industries Inc (LOOP) last closed at $0.4969, gaining +3.09%. These facts feed the 1-day and 1-week LOOP price prediction above.

Factores de la previsión

Los factores de la previsión de Loop Industries Inc (LOOP) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Patrones gráficos similares

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

Análisis de estacionalidad de LOOP

Historically the probability of a positive September return for LOOP is 50.00%. March offers the highest probability of a positive month at 60.32%, while December 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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