$0.091
-0.061 (-67.02%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de SNYR por análisis de gráficos similares
Alphio's SNYR stock price prediction model matches the current Synergy CHC Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.09 (+1.45%). The 1-week path is $0.09 (+3.01%). 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 Synergy CHC Corp?
Synergy CHC Corp is not a good buy right now due to its poor financial performance and significant losses. The current price is $0.10, and the company reported a staggering net loss of $14.82 million in Q4 2025, which raises serious concerns about its sustainability. Additionally, the forward P/E ratio is 0.5347, indicating that the market is not optimistic about future earnings, and the stock has declined 94.65% year-to-date, reflecting a lack of investor confidence.
SNYR cerró en $0.09 el Thursday, tras bajar -67.02%
Synergy CHC Corp (SNYR) last closed at $0.0905, losing -67.02%. These facts feed the 1-day and 1-week SNYR price prediction above.
Factores de la previsión
Los factores de la previsión de Synergy CHC Corp (SNYR) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de SNYR, ordenadas por similitud.
Análisis de estacionalidad de SNYR
Historically the probability of a positive November return for SNYR is 0.00%. January offers the highest probability of a positive month at 22.50%, while February 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.