$22.980
+0.657 (+2.86%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
PINS 相似图表分析预测
Alphio's PINS stock price prediction model matches the current Pinterest Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $23.05 (+0.30%). The 1-week path is $22.83 (-0.66%). 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 Pinterest Inc 股票吗?
Pinterest appears to be a good buy right now, with a current price of $21.91 and a forward P/E ratio of 8.02, indicating strong potential for growth. The RSI is at 61.47, suggesting that the stock is in a healthy momentum phase. However, the main risk is the insider selling activity, which has increased by 2916.26% over the last month, indicating potential concerns from insiders about the stock's future performance.
PINS 股价于 Tuesday 收于 $22.98,此前上涨 +2.86%
Pinterest Inc (PINS) last closed at $22.98, gaining +2.86%. These facts feed the 1-day and 1-week PINS price prediction above.
预测驱动因素
Pinterest Inc(PINS)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
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 PINS 最接近的股票,按相似度排序。
PINS 季节性分析
Historically the probability of a positive October return for PINS is 36.07%. January offers the highest probability of a positive month at 65.57%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
PINS 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $30.27 | $36.14 | $37.79 | +57.27% |
| Nov 2026 | $32.11 | $34.30 | $40.40 | +49.28% |
| Dec 2026 | $41.15 | $42.04 | $48.47 | +82.95% |
2026 年,Pinterest Inc(PINS)预计区间为 $30.27 至 $48.47。
Pinterest Inc 2026 年月度预测
2026 年 Oct,Pinterest Inc 预计均价 $36.14,最低 $30.27,最高 $37.79。
2026 年 Nov,Pinterest Inc 预计均价 $34.30,最低 $32.11,最高 $40.40。
2026 年 Dec,Pinterest Inc 预计均价 $42.04,最低 $41.15,最高 $48.47。
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。