$16.520
+0.152 (+0.92%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
TIPT 相似图表分析预测
Alphio's TIPT stock price prediction model matches the current Tiptree Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $16.10 (-2.43%). The 1-week path is $15.76 (-4.47%). 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 Tiptree Inc 股票吗?
Tiptree Inc is currently not a strong buy due to its high RSI of 17.624, indicating oversold conditions, and a forward P/E ratio of 12.11, which is relatively low but not compelling enough given recent performance declines. The stock has seen a 5-day change of -4.58% and a year-to-date change of -8.76%, suggesting bearish momentum. The main risk is the negative earnings report with an EPS of -0.17 reported last quarter, which may deter investors.
TIPT 股价于 Tuesday 收于 $16.52,此前上涨 +0.92%
Tiptree Inc (TIPT) last closed at $16.5, gaining +0.79%. These facts feed the 1-day and 1-week TIPT price prediction above.
预测驱动因素
Tiptree Inc(TIPT)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
Bearish
相似图表形态
近期走势与 TIPT 最接近的股票,按相似度排序。
TIPT 季节性分析
Historically the probability of a positive October return for TIPT is 37.70%. August offers the highest probability of a positive month at 68.75%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
TIPT 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $20.89 | $22.78 | $22.86 | +38.09% |
| Nov 2026 | $16.22 | $18.91 | $23.09 | +14.62% |
| Dec 2026 | $14.82 | $19.29 | $22.80 | +16.88% |
2026 年,Tiptree Inc(TIPT)预计区间为 $14.82 至 $23.09。
Tiptree Inc 2026 年月度预测
2026 年 Oct,Tiptree Inc 预计均价 $22.78,最低 $20.89,最高 $22.86。
2026 年 Nov,Tiptree Inc 预计均价 $18.91,最低 $16.22,最高 $23.09。
2026 年 Dec,Tiptree Inc 预计均价 $19.29,最低 $14.82,最高 $22.80。
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。