Odyssey Therapeutics Inc

Predicción y previsión de precio de Odyssey Therapeutics Inc (ODTX)

$19.600

+0.535 (+2.73%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.02%
1-Week Prediction
-1.18%
1-Month Prediction
—
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 ODTX por análisis de gráficos similares

Alphio's ODTX stock price prediction model matches the current Odyssey Therapeutics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $19.60 (+0.02%). The 1-week path is $19.37 (-1.18%). 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 Odyssey Therapeutics Inc?

Currently, ODTX is not a good buy due to its low RSI of 34.157, indicating oversold conditions, and a significant recent decline of 29.57% over the last 20 days. However, the company has strong cash reserves of $433.1 million, which can fund operations into 2028, providing a buffer against short-term losses. The main risk is the widening net loss of $52.8 million in Q2 2026, which is approximately 28% higher than the previous year, indicating increasing financial strain.

ODTX cerró en $19.60 el Friday, tras subir +2.73%

Odyssey Therapeutics Inc (ODTX) last closed at $19.6, gaining +2.73%. These facts feed the 1-day and 1-week ODTX price prediction above.

Factores de la previsión

Los factores de la previsión de Odyssey Therapeutics Inc (ODTX) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

Patrones gráficos similares

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

Análisis de estacionalidad de ODTX

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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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