Petco Health and Wellness Company Inc（WOOF）价格预测

$2.530

+0.241 (+9.52%)收盘时

价格预测

1-Day Price Prediction

-0.63%

1-Week Prediction

-1.85%

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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WOOF 相似图表分析预测

Alphio's WOOF stock price prediction model matches the current Petco Health and Wellness Company Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.43 (-0.63%). The 1-week path is $2.40 (-1.85%). 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 Petco Health and Wellness Company Inc 股票吗？

Petco Health and Wellness Company Inc (WOOF) appears to be a good buy right now due to its recent positive earnings surprise of 333.33% and a forward P/E ratio of 6.98, suggesting it is undervalued compared to its earnings potential. The stock has shown a recent 5-day increase of 4.48%, indicating positive momentum, while the RSI of 53 suggests it is neither overbought nor oversold, providing a balanced entry point. However, the main risk is its year-to-date decline of 18.25%, which reflects broader market challenges.

WOOF 股价于 Thursday 收于 $2.53，此前上涨 +9.52%

Petco Health and Wellness Company Inc (WOOF) last closed at $2.45, losing -3.16%. These facts feed the 1-day and 1-week WOOF price prediction above.

预测驱动因素

Petco Health and Wellness Company Inc（WOOF）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 WOOF 最接近的股票，按相似度排序。

QDEL

92.11%

-16.87%

BABA

91.80%

+8.63%

YETI

91.50%

+2.63%

MHK

91.45%

-11.54%

TTD

91.45%

-31.38%

WOOF 季节性分析

Historically the probability of a positive October return for WOOF is 36.51%. November offers the highest probability of a positive month at 51.28%, while February 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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