$138.120
-1.354 (-0.98%)At close
Price Predictions
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CAR Prediction & Forecast by Similar Chart Analysis
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 $138.19 (+0.05%). The 1-week path is $138.20 (+0.06%). 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.
Should I Buy Avis Budget Group Inc Stock?
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 stock price ended at $138.12 on Friday, after losing -0.98%
Avis Budget Group Inc (CAR) last closed at $138.12, losing -0.98%. These facts feed the 1-day and 1-week CAR price prediction above.
Analyst Consensus
Avis Budget Group Inc (CAR): 7 buy, 3 hold, 1 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Avis Budget Group Inc (CAR) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches CAR, ranked by similarity.
Seasonality analysis for CAR
Historically the probability of a positive August return for CAR is 65.08%. 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.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.