$74.980
-1.110 (-1.48%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de TTAN por análisis de gráficos similares
Alphio's TTAN stock price prediction model matches the current ServiceTitan Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $74.99 (+0.01%). The 1-week path is $75.19 (+0.28%). 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 ServiceTitan Inc?
ServiceTitan Inc is currently not a strong buy. The stock is priced at $72.59, with a 5-day change of +8.20%, indicating some recent recovery. However, the RSI is at 68.707, suggesting it is nearing overbought territory. Additionally, the forward P/E ratio stands at 45.045, which is quite high, indicating that the stock may be overvalued relative to its earnings potential. The main risk is the ongoing investigation into potential securities fraud, which could further impact investor confidence and stock performance.
TTAN cerró en $74.98 el Friday, tras bajar -1.48%
ServiceTitan Inc (TTAN) last closed at $74.98, losing -1.48%. These facts feed the 1-day and 1-week TTAN price prediction above.
Factores de la previsión
Los factores de la previsión de ServiceTitan Inc (TTAN) 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 TTAN, ordenadas por similitud.
Análisis de estacionalidad de TTAN
Historically the probability of a positive October return for TTAN is 8.57%. December offers the highest probability of a positive month at 82.86%, 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.