Valhi Inc（VHI）價格預測

$14.330

+0.370 (+2.58%)收盤時

價格預測

1-Day Price Prediction

+3.42%

1-Week Prediction

-8.00%

1-Month Prediction

—

2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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VHI 相似圖表分析預測

Alphio's VHI stock price prediction model matches the current Valhi Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $14.82 (+3.42%). The 1-week path is $13.18 (-8.00%). 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 Valhi Inc 股票嗎？

Valhi Inc is a good buy right now due to its recent strong earnings performance, with a Q2 EPS of $0.78 and revenue growth of 12.2% year-over-year, alongside a current price of $14.68 which is below its 52-week high of $20. The stock shows potential for recovery as it recently entered oversold territory with an RSI of 45.885, indicating a possible rebound. However, investors should be cautious of the risk posed by rising energy costs which could impact profit margins.

VHI 股價於 Thursday 收在 $14.33，此前上漲 +2.58%

Valhi Inc (VHI) last closed at $14.33, gaining +2.58%. These facts feed the 1-day and 1-week VHI price prediction above.

分析師一致預期

Valhi Inc（VHI）：買進 0、持有 0、賣出 1。展望：Strong Sell。

Sell / Buy

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Neutral

Sell

Buy

預測驅動因素

Valhi Inc（VHI）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

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 VHI 最接近的股票，依相似度排序。

EAT

92.59%

+100.00%

GEN

90.66%

-58.00%

ENPH

89.89%

-3.52%

MMYT

89.68%

-19.42%

CNK

89.51%

-11.97%

VHI 季節性分析

Historically the probability of a positive October return for VHI is 62.90%. August offers the highest probability of a positive month at 67.19%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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