Ooma Inc（OOMA）价格预测

$21.880

-0.735 (-3.36%)收盘时

价格预测

1-Day Price Prediction

+0.24%

1-Week Prediction

+9.31%

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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OOMA 相似图表分析预测

Alphio's OOMA stock price prediction model matches the current Ooma Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $21.93 (+0.24%). The 1-week path is $23.92 (+9.31%). 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 Ooma Inc 股票吗？

Ooma Inc is a good buy right now due to its strong recent performance, with a current price of $22.91 and a significant year-to-date change of +105.66%. The company reported a revenue increase of 25% year-over-year in Q2 2027, reaching $83.2 million, and analysts have raised their price targets following these results, indicating confidence in its growth potential. The main risk to consider is the current RSI of 68.56, suggesting that the stock may be nearing overbought territory.

OOMA 股价于 Tuesday 收于 $21.88，此前下跌 -3.36%

Ooma Inc (OOMA) last closed at $21.88, losing -3.36%. These facts feed the 1-day and 1-week OOMA price prediction above.

分析师一致预期

Ooma Inc（OOMA）：买入 3、持有 2、卖出 1。展望：Buy。

Sell / Buy

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

Buy

Sell

Buy

预测驱动因素

Ooma Inc（OOMA）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

Positive

Bullish

相似图表形态

近期走势与 OOMA 最接近的股票，按相似度排序。

GLW

92.67%

+20.52%

RLAY

92.20%

+6.19%

LPTH

92.02%

+121.08%

RPRX

91.86%

+6.09%

STX

91.86%

+50.00%

OOMA 季节性分析

Historically the probability of a positive September return for OOMA is 38.10%. February offers the highest probability of a positive month at 67.24%, while May 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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