$2.340
+0.046 (+1.96%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de NKLR por análisis de gráficos similares
Alphio's NKLR stock price prediction model matches the current Terra Innovatum Global NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.37 (+1.19%). The 1-week path is $2.36 (+0.88%). 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 Terra Innovatum Global NV?
Terra Innovatum Global S.R.L. (NKLR) is a good buy right now due to its current price of $2.22, which is significantly below its 52-week high of $8.36, indicating potential for substantial upside. Additionally, the stock has shown a recent 5-day change of +9.90%, suggesting a positive short-term momentum. However, the risk lies in its low current price relative to its historical performance, with a 1-year change of -70.79%.
NKLR cerró en $2.34 el Wednesday, tras subir +1.96%
Terra Innovatum Global NV (NKLR) last closed at $2.3399999, gaining +1.96%. These facts feed the 1-day and 1-week NKLR price prediction above.
Factores de la previsión
Los factores de la previsión de Terra Innovatum Global NV (NKLR) 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 NKLR, ordenadas por similitud.
Análisis de estacionalidad de NKLR
Historically the probability of a positive November return for NKLR is 0.00%. August offers the highest probability of a positive month at 95.24%, 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.