$7.660
-0.298 (-3.89%)Al cierre
Predicciones de precio
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Predicción y previsión de MPLT por análisis de gráficos similares
Alphio's MPLT stock price prediction model matches the current MapLight Therapeutics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $7.71 (+0.70%). The 1-week path is $7.79 (+1.71%). 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 MapLight Therapeutics Inc?
MapLight Therapeutics, Inc. (MPLT) is currently not a strong buy due to its low price of $7.97 and a concerning RSI of 34.376, indicating potential oversold conditions. However, the company has a significant cash position of $351.3 million, which supports its operations through 2028. The main risk is the negative sentiment from analysts, particularly UBS's downgrade to Neutral with a price target of $13, reflecting concerns over the efficacy of its lead drug candidate. Investors should be cautious and consider holding rather than buying at this time.
MPLT cerró en $7.66 el Monday, tras bajar -3.89%
MapLight Therapeutics Inc (MPLT) last closed at $7.6599998, losing -3.89%. These facts feed the 1-day and 1-week MPLT price prediction above.
Factores de la previsión
Los factores de la previsión de MapLight Therapeutics Inc (MPLT) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de MPLT, ordenadas por similitud.
Análisis de estacionalidad de MPLT
Historically the probability of a positive October return for MPLT is 8.33%. March offers the highest probability of a positive month at 100.00%, while August 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.