Harte Hanks Inc（HHS）價格預測

$4.280

-0.030 (-0.70%)收盤時

價格預測

1-Day Price Prediction

-1.97%

1-Week Prediction

-2.20%

1-Month Prediction

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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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HHS 相似圖表分析預測

Alphio's HHS stock price prediction model matches the current Harte Hanks Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $4.20 (-1.97%). The 1-week path is $4.19 (-2.20%). 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 Harte Hanks Inc 股票嗎？

Harte Hanks Inc is a good buy right now due to its recent performance and insider buying activity. The current price is $4.34, with a significant 5-day change of +17.93% and a year-to-date change of +41.83%. Additionally, the RSI is at 78.487, indicating strong momentum. However, the main risk is the declining gross margin, which is currently at 11.80%, down from previous quarters, suggesting potential profitability challenges ahead.

HHS 股價於 Tuesday 收在 $4.28，此前下跌 -0.70%

Harte Hanks Inc (HHS) last closed at $4.28, losing -0.70%. These facts feed the 1-day and 1-week HHS price prediction above.

分析師一致預期

Harte Hanks Inc（HHS）：買進 0、持有 1、賣出 0。展望：Hold。

Sell / Buy

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

Neutral

Sell

Buy

預測驅動因素

Harte Hanks Inc（HHS）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

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 HHS 最接近的股票，依相似度排序。

AZN

96.17%

-9.44%

WULF

95.78%

+18.59%

RAL

94.87%

+17.04%

COUR

94.43%

-10.88%

RELY

94.41%

-5.32%

HHS 季節性分析

Historically the probability of a positive September return for HHS is 50.00%. January offers the highest probability of a positive month at 72.13%, while December 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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