HubSpot Inc（HUBS）价格预测

$234.630

+3.754 (+1.60%)收盘时

价格预测

1-Day Price Prediction

-1.76%

1-Week Prediction

-0.02%

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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HUBS 相似图表分析预测

Alphio's HUBS stock price prediction model matches the current HubSpot Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $246.35 (-1.76%). The 1-week path is $250.71 (-0.02%). 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 HubSpot Inc 股票吗？

HubSpot Inc is currently a hold. The stock is priced at $230.94, which is below the analyst price targets of $240 to $275, indicating potential upside. However, the company faces challenges with a year-to-date decline of 39.58% and a recent downgrade in sales guidance, which has negatively impacted market sentiment. The RSI is at 57.305, suggesting the stock is neither overbought nor oversold, indicating a cautious approach is warranted.

HUBS 股价于 Monday 收于 $234.63，此前上涨 +1.60%

HubSpot Inc (HUBS) last closed at $250.76, gaining +6.87%. These facts feed the 1-day and 1-week HUBS price prediction above.

分析师一致预期

HubSpot Inc（HUBS）：买入 16、持有 4、卖出 0。展望：Strong Buy。

Sell / Buy

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

Strong buy

Sell

Buy

预测驱动因素

HubSpot Inc（HUBS）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 HUBS 最接近的股票，按相似度排序。

TECH

86.63%

+30.77%

NYT

85.03%

-16.05%

ACHC

83.80%

+8.44%

HWM

83.63%

+39.00%

HLIT

83.48%

+11.97%

HUBS 季节性分析

Historically the probability of a positive October return for HUBS is 16.67%. February offers the highest probability of a positive month at 67.24%, while August 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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