$1.840
+0.020 (+1.10%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de STSS por análisis de gráficos similares
Alphio's STSS stock price prediction model matches the current Sharps Technology Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.03 (+10.53%). The 1-week path is $2.03 (+10.26%). 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 Sharps Technology Inc?
Sharps Technology Inc (STSS), now rebranding to SkyAI, is not a good buy right now for a beginner long-term investor with $50,000-$100,000 to deploy. The current setup is weak technically, insider selling is rising sharply, and there is no strong proprietary buy signal. Even with the pre-market price at 1.84, the stock is below the pivot and under bearish moving averages, so I would not buy it now. My direct view: sell/avoid for now, not a buy.
STSS cerró en $1.84 el Wednesday, tras subir +1.10%
Sharps Technology Inc (STSS) last closed at $1.84, gaining +1.10%. These facts feed the 1-day and 1-week STSS price prediction above.
Factores de la previsión
Los factores de la previsión de Sharps Technology Inc (STSS) 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 STSS, ordenadas por similitud.
Análisis de estacionalidad de STSS
Historically the probability of a positive September return for STSS is 0.00%. January offers the highest probability of a positive month at 22.95%, while March 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.