$2.200
-0.049 (-2.22%)Al cierre
Predicciones de precio
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Predicción y previsión de NXDR por análisis de gráficos similares
Alphio's NXDR stock price prediction model matches the current Nextdoor Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.13 (-3.07%). The 1-week path is $2.05 (-6.88%). 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 Nextdoor Holdings Inc?
Nextdoor Holdings Inc appears to be a good buy right now due to its recent positive earnings reports and user growth. The current price is $2.27, which is below the analyst price target of $3.30, indicating significant upside potential. Additionally, the company reported a gross margin of 84.61% in Q2 2026, showcasing strong profitability despite ongoing losses. The main risk is the negative net income, which was -2.12 million in Q2 2026, but the trend shows improvement as losses are decreasing.
NXDR cerró en $2.20 el Tuesday, tras bajar -2.22%
Nextdoor Holdings Inc (NXDR) last closed at $2.2, losing -2.22%. These facts feed the 1-day and 1-week NXDR price prediction above.
Factores de la previsión
Los factores de la previsión de Nextdoor Holdings Inc (NXDR) 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 NXDR, ordenadas por similitud.
Análisis de estacionalidad de NXDR
Historically the probability of a positive September return for NXDR is 50.00%. August offers the highest probability of a positive month at 67.19%, while January 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.