$2.380
+0.094 (+3.93%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
EXFY 相似圖表分析預測
Alphio's EXFY stock price prediction model matches the current Expensify Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.51 (+5.36%). The 1-week path is $2.53 (+6.11%). 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 Expensify Inc 股票嗎?
Expensify Inc (EXFY) is currently priced at $2.29, which is below the analyst target of $3, indicating potential upside. However, the stock has an RSI of 28.1, suggesting it is oversold, but it has also experienced a 5-day decline of 8.76%, reflecting negative momentum. The company has shown a significant year-to-date increase of 57.93%, but ongoing losses and a forward P/E of 0 raise concerns about profitability. Therefore, while there is potential for recovery, caution is advised due to the current negative trends and financial performance.
EXFY 股價於 Wednesday 收在 $2.38,此前上漲 +3.93%
Expensify Inc (EXFY) last closed at $2.3800001, gaining +3.93%. These facts feed the 1-day and 1-week EXFY price prediction above.
預測驅動因素
Expensify Inc(EXFY)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
Bearish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
相似圖表形態
近期走勢與 EXFY 最接近的股票,依相似度排序。
EXFY 季節性分析
Historically the probability of a positive November return for EXFY is 41.86%. December offers the highest probability of a positive month at 48.84%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
EXFY 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $1.65 | $1.94 | $2.19 | -18.56% |
| Dec 2026 | $2.59 | $2.62 | $2.94 | +10.20% |
2026 年,Expensify Inc(EXFY)預計區間為 $1.65 至 $2.94。
Expensify Inc 2026 年月度預測
2026 年 Nov,Expensify Inc 預計均價 $1.94,最低 $1.65,最高 $2.19。
2026 年 Dec,Expensify Inc 預計均價 $2.62,最低 $2.59,最高 $2.94。
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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。