$0.920
-0.004 (-0.43%)Al cierre
Predicciones de precio
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Predicción y previsión de IQ por análisis de gráficos similares
Alphio's IQ stock price prediction model matches the current iQIYI Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.92 (-0.52%). The 1-week path is $0.93 (+1.11%). 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 iQIYI Inc?
iQIYI Inc is not a good buy right now due to its current price of $0.92, which is significantly below analyst price targets ranging from $1.20 to $1.50. Additionally, the stock has a very low RSI of 14.707, indicating it is oversold and may not recover in the short term. The company also reported a net income loss of 294581000 CNY in Q1 2026 and a gross margin of only 15.94%, which is concerning for long-term profitability.
IQ cerró en $0.92 el Friday, tras bajar -0.43%
iQIYI Inc (IQ) last closed at $0.92, losing -0.43%. These facts feed the 1-day and 1-week IQ price prediction above.
Consenso de analistas
iQIYI Inc (IQ): 4 comprar, 1 mantener, 0 vender. Perspectiva: Strong 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 iQIYI Inc (IQ) 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 IQ, ordenadas por similitud.
Análisis de estacionalidad de IQ
Historically the probability of a positive August return for IQ is 15.62%. September offers the highest probability of a positive month at 51.22%, while June 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.