Avis Budget Group Inc

Avis Budget Group Inc(CAR)價格預測

$140.700

-6.472 (-4.60%)收盤時

價格預測

1-Day Price Prediction
+4.05%
1-Week Prediction
+31.17%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中開啟以解鎖更長週期的預測。

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CAR 相似圖表分析預測

Alphio's CAR stock price prediction model matches the current Avis Budget Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $146.40 (+4.05%). The 1-week path is $184.56 (+31.17%). 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 Avis Budget Group Inc 股票嗎?

Avis Budget Group Inc is not a good buy right now due to several concerning indicators. The current price is $138.12, but the stock has a low RSI of 33.144, indicating it is oversold, and a forward P/E of 3.3887, suggesting potential undervaluation. However, the company has faced stagnant revenue growth and high debt levels, with a net debt-to-EBITDA ratio of 7x, which raises significant risks for investors.

CAR 股價於 Tuesday 收在 $140.70,此前下跌 -4.60%

Avis Budget Group Inc (CAR) last closed at $140.7, losing -4.60%. These facts feed the 1-day and 1-week CAR price prediction above.

分析師一致預期

Avis Budget Group Inc(CAR):買進 7、持有 3、賣出 1。展望:Buy。

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
1
Buy
7

預測驅動因素

Avis Budget Group Inc(CAR)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

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 CAR 最接近的股票,依相似度排序。

CAR 季節性分析

Historically the probability of a positive September return for CAR is 52.38%. June offers the highest probability of a positive month at 68.33%, 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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