Ooma Inc（OOMA）價格預測

$23.380

+0.881 (+3.77%)收盤時

價格預測

1-Day Price Prediction

+0.92%

1-Week Prediction

+7.31%

1-Month Prediction

—

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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OOMA 相似圖表分析預測

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 $23.60 (+0.92%). The 1-week path is $25.09 (+7.31%). 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.

該買進 Ooma Inc 股票嗎？

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 股價於 Thursday 收在 $23.38，此前上漲 +3.77%

Ooma Inc (OOMA) last closed at $23.38, gaining +3.77%. These facts feed the 1-day and 1-week OOMA price prediction above.

分析師一致預期

Ooma Inc（OOMA）：買進 3、持有 2、賣出 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

預測驅動因素

Ooma Inc（OOMA）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

Positive

Bullish

相似圖表形態

近期走勢與 OOMA 最接近的股票，依相似度排序。

DECK

92.60%

-9.64%

RPRX

92.00%

+5.89%

LASR

91.97%

+37.12%

CRML

91.64%

+22.32%

BTU

91.49%

+67.79%

OOMA 季節性分析

Historically the probability of a positive September return for OOMA is 40.91%. 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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