$24.410
+2.131 (+8.73%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
FSLY 相似图表分析预测
Alphio's FSLY stock price prediction model matches the current Fastly Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.88 (-2.16%). The 1-week path is $23.61 (-3.29%). 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 Fastly Inc 股票吗?
Fastly Inc is a good buy right now due to its recent revenue growth of 23% year-over-year, reaching $183.3 million in Q2 2026, and a current price of $24.41, which is significantly below the analyst price targets of $35 and $37. Additionally, the stock has shown strong momentum with a 5-day change of +8.63% and YTD change of +139.55%. The main risk is its negative net income, which was -15.59 million in Q2 2026, indicating ongoing losses that investors should monitor closely.
FSLY 股价于 Friday 收于 $24.41,此前上涨 +8.73%
Fastly Inc (FSLY) last closed at $24.41, gaining +8.73%. These facts feed the 1-day and 1-week FSLY price prediction above.
预测驱动因素
Fastly Inc(FSLY)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
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bullish
相似图表形态
近期走势与 FSLY 最接近的股票,按相似度排序。
FSLY 季节性分析
Historically the probability of a positive October return for FSLY is 26.98%. January offers the highest probability of a positive month at 57.38%, while October is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
FSLY 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $7.16 | $7.24 | $8.37 | -70.35% |
| Nov 2026 | $7.76 | $7.83 | $8.68 | -67.92% |
| Dec 2026 | $5.05 | $6.57 | $6.73 | -73.08% |
2026 年,Fastly Inc(FSLY)预计区间为 $5.05 至 $8.68。
Fastly Inc 2026 年月度预测
2026 年 Oct,Fastly Inc 预计均价 $7.24,最低 $7.16,最高 $8.37。
2026 年 Nov,Fastly Inc 预计均价 $7.83,最低 $7.76,最高 $8.68。
2026 年 Dec,Fastly Inc 预计均价 $6.57,最低 $5.05,最高 $6.73。
本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。