$22.700
-1.249 (-5.50%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de TISI por análisis de gráficos similares
Alphio's TISI stock price prediction model matches the current Team Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $22.55 (-0.66%). The 1-week path is $22.78 (+0.35%). 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 Team Inc?
TISI is not a good buy right now due to its low RSI of 22.19, indicating oversold conditions, and a significant net loss of $9.8 million in Q2 2026. While the stock has shown a year-to-date change of +63.39%, the recent trend of hedge funds selling by 106.27% raises concerns about future performance.
TISI cerró en $22.70 el Thursday, tras bajar -5.50%
Team Inc (TISI) last closed at $22.7000008, losing -5.50%. These facts feed the 1-day and 1-week TISI price prediction above.
Consenso de analistas
Team Inc (TISI): 3 comprar, 2 mantener, 0 vender. Perspectiva: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Factores de la previsión
Los factores de la previsión de Team Inc (TISI) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de TISI, ordenadas por similitud.
Análisis de estacionalidad de TISI
Historically the probability of a positive November return for TISI is 100.00%. June offers the highest probability of a positive month at 100.00%, 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.