$2.620
-0.039 (-1.50%)Al cierre
Predicciones de precio
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Predicción y previsión de KPRX por análisis de gráficos similares
Alphio's KPRX stock price prediction model matches the current Kiora Pharmaceuticals Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.67 (+1.80%). The 1-week path is $2.68 (+2.26%). 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 Kiora Pharmaceuticals Inc?
Kiora Pharmaceuticals Inc is currently not a strong buy due to its recent financial losses and lack of profitability. The stock price is at $2.62, with a forward P/E ratio of 2.41, indicating potential undervaluation, but the company has reported a loss of $0.58 per share in Q1 2026. The RSI is at 49.46, suggesting the stock is neither overbought nor oversold, which means it may not be the best time to buy. The main risk is the negative earnings trend, with a projected EPS of -0.34 for the last quarter, indicating ongoing financial challenges.
KPRX cerró en $2.62 el Friday, tras bajar -1.50%
Kiora Pharmaceuticals Inc (KPRX) last closed at $2.62, losing -1.50%. These facts feed the 1-day and 1-week KPRX price prediction above.
Factores de la previsión
Los factores de la previsión de Kiora Pharmaceuticals Inc (KPRX) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de KPRX, ordenadas por similitud.
Análisis de estacionalidad de KPRX
Historically the probability of a positive August return for KPRX is 31.75%. February offers the highest probability of a positive month at 75.86%, while September 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.