$3.530
-0.078 (-2.22%)Al cierre
Predicciones de precio
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Predicción y previsión de KNDI por análisis de gráficos similares
Alphio's KNDI stock price prediction model matches the current Kandi Technologies Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.53 (+0.06%). The 1-week path is $3.68 (+4.29%). 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 Kandi Technologies Group Inc?
Kandi Technologies is not a good buy right now due to its current price of 3.41, a very low RSI of 20.239 indicating oversold conditions, and a forward P/E ratio of 40.32 suggesting overvaluation despite potential future earnings. The stock has seen a drastic decline of 72.28% over the past year, and the recent 1-for-10 reverse stock split has further eroded investor confidence. The main risk is the negative net income of -49,153,346 USD reported for Q4 2024, which raises concerns about the company's profitability and financial health.
KNDI cerró en $3.53 el Friday, tras bajar -2.22%
Kandi Technologies Group Inc (KNDI) last closed at $3.53, losing -2.22%. These facts feed the 1-day and 1-week KNDI price prediction above.
Factores de la previsión
Los factores de la previsión de Kandi Technologies Group Inc (KNDI) 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 KNDI, ordenadas por similitud.
Análisis de estacionalidad de KNDI
Historically the probability of a positive November return for KNDI is 10.26%. March offers the highest probability of a positive month at 63.49%, while December 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.