GEE Group Inc

GEE Group Inc(JOB)價格預測

$0.253

-0.001 (-0.39%)收盤時

價格預測

1-Day Price Prediction
+0.38%
1-Week Prediction
+3.17%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中開啟以解鎖更長週期的預測。

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JOB 相似圖表分析預測

Alphio's JOB stock price prediction model matches the current GEE Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.25 (+0.38%). The 1-week path is $0.26 (+3.17%). 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 GEE Group Inc 股票嗎?

GEE Group Inc is currently a hold. The stock is priced at $0.25, with an RSI of 68.8 indicating it is nearing overbought territory. Although the forward P/E ratio is a low 3.32, suggesting potential value, the company has reported a 20.5% year-over-year revenue decline and a net income of only $566,000 in the most recent quarter, which raises concerns about its profitability and future growth. The main risk is the significant revenue decline, which could affect investor confidence.

JOB 股價於 Friday 收在 $0.25,此前下跌 -0.39%

GEE Group Inc (JOB) last closed at $0.253, losing -0.39%. These facts feed the 1-day and 1-week JOB price prediction above.

分析師一致預期

GEE Group Inc(JOB):買進 2、持有 0、賣出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Buy
Sell
0
Buy
2

預測驅動因素

GEE Group Inc(JOB)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 JOB 最接近的股票,依相似度排序。

JOB 季節性分析

Historically the probability of a positive August return for JOB is 31.25%. February offers the highest probability of a positive month at 65.52%, while September 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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