$13.680
-0.408 (-2.98%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
GRND 相似圖表分析預測
Alphio's GRND stock price prediction model matches the current Grindr Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $13.97 (+2.11%). The 1-week path is $13.51 (-1.26%). 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 Grindr Inc 股票嗎?
Grindr Inc is currently a hold. The stock has a current price of $14.09, which is below the average analyst price target of $19, suggesting a potential upside of about 35%. However, the RSI is at 33.011, indicating that the stock is oversold, which could limit short-term gains. The recent acquisition of Freddie for $250 million could enhance future revenue streams, but insider selling has increased by 2609.30%, raising concerns about insider confidence.
GRND 股價於 Friday 收在 $13.68,此前下跌 -2.98%
Grindr Inc (GRND) last closed at $13.68, losing -2.98%. These facts feed the 1-day and 1-week GRND price prediction above.
預測驅動因素
Grindr Inc(GRND)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
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
相似圖表形態
近期走勢與 GRND 最接近的股票,依相似度排序。
GRND 季節性分析
Historically the probability of a positive October return for GRND is 63.49%. July offers the highest probability of a positive month at 93.94%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
GRND 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $33.44 | $34.05 | $35.59 | +148.90% |
| Nov 2026 | $24.33 | $26.48 | $30.24 | +93.55% |
| Dec 2026 | $26.39 | $32.63 | $34.86 | +138.50% |
2026 年,Grindr Inc(GRND)預計區間為 $24.33 至 $35.59。
Grindr Inc 2026 年月度預測
2026 年 Oct,Grindr Inc 預計均價 $34.05,最低 $33.44,最高 $35.59。
2026 年 Nov,Grindr Inc 預計均價 $26.48,最低 $24.33,最高 $30.24。
2026 年 Dec,Grindr Inc 預計均價 $32.63,最低 $26.39,最高 $34.86。
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。