SunCar Technology Group Inc（SDA）價格預測

$0.379

+0.554 (+146.29%)收盤時

價格預測

1-Day Price Prediction

-0.43%

1-Week Prediction

-1.60%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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SDA 相似圖表分析預測

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 $0.37 (-0.43%). The 1-week path is $0.37 (-1.60%). 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.

該買進 SunCar Technology Group Inc 股票嗎？

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 股價於 Friday 收在 $0.38，此前上漲 +146.29%

SunCar Technology Group Inc (SDA) last closed at $0.3765, gaining +144.80%. These facts feed the 1-day and 1-week SDA price prediction above.

預測驅動因素

SunCar Technology Group Inc（SDA）的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 SDA 最接近的股票，依相似度排序。

RELY

94.63%

+2.85%

HLF

94.25%

-37.00%

94.11%

+3.89%

93.91%

+11.48%

KSS

93.81%

-40.41%

SDA 季節性分析

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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