SunCar Technology Group Inc（SDA）价格预测

$0.379

+0.554 (+146.29%)收盘时

价格预测

1-Day Price Prediction

-0.05%

1-Week Prediction

-1.71%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中打开以解锁更长周期的预测。

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SDA 相似图表分析预测

Alphio's SDA stock price prediction model matches the current SunCar Technology Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.38 (-0.05%). The 1-week path is $0.37 (-1.71%). 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.

该买入 SunCar Technology Group Inc 股票吗？

Currently, SunCar Technology Group Inc (SDA) is not a good buy. The stock has dropped 89.95% year-to-date and is trading at $0.21, which is only 0.9% of its 52-week range. The RSI is extremely low at 11.893, indicating oversold conditions, but the forward P/E ratio of 6.84 suggests potential undervaluation. However, the company has reported consistent losses, with a net income of -936000 USD in Q2 2026, and a significant decline in stock price over the last month (-28.62%). The main risk is its recent earnings report showing a GAAP EPS of -0.01, which may deter potential investors.

SDA 股价于 Friday 收于 $0.38，此前上涨 +146.29%

SunCar Technology Group Inc (SDA) last closed at $0.3788, gaining +146.29%. These facts feed the 1-day and 1-week SDA price prediction above.

预测驱动因素

SunCar Technology Group Inc（SDA）的预测驱动因素综合了相似的图表形态、季节性与移动平均线。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 SDA 最接近的股票，按相似度排序。

RELY

94.62%

+2.85%

PGNY

94.51%

+10.42%

HLF

94.24%

-37.00%

94.09%

+3.89%

93.91%

+11.48%

SDA 季节性分析

Historically the probability of a positive November return for SDA is 45.45%. January offers the highest probability of a positive month at 78.69%, while March 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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