Ternium SA

Ternium SA(TX)の株価予測

$57.100

+0.223 (+0.39%)終値時点

価格予想

1-Day Price Prediction
+1.65%
1-Week Prediction
+4.14%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

アプリで開くと、より長期の予想を確認できます。

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類似チャート分析による TX の予測・予想

Alphio's TX stock price prediction model matches the current Ternium SA tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $58.04 (+1.65%). The 1-week path is $59.46 (+4.14%). 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.

Ternium SA 株は買うべき?

Ternium SA (TX) is a good buy right now due to its strong financial performance, including a current gross margin of 21.68% and a forward P/E ratio of 8.51, which indicates that the stock is undervalued compared to its earnings potential. Additionally, analysts have a price target of $65, suggesting a potential upside of 14.5% from the current price of $57.1. The main risk is the recent 5-day change of -1.86%, indicating some short-term volatility.

TX の株価は Friday に $57.10 で引け、その前に上昇 +0.39%

Ternium SA (TX) last closed at $57.1, gaining +0.39%. These facts feed the 1-day and 1-week TX price prediction above.

アナリストのコンセンサス

Ternium SA(TX):買い 9、中立 4、売り 0。見通し:Buy。

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

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
9

予想の要因

Ternium SA(TX)の予想は、類似したチャートパターン・季節性・移動平均を組み合わせています。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

類似チャートパターン

直近の値動きが TX に最も近い銘柄を、類似度順に表示します。

TX の季節性分析

Historically the probability of a positive October return for TX is 60.34%. April offers the highest probability of a positive month at 70.31%, while January 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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本ページは調査目的であり、投資助言ではありません。モデルは誤ることがあります。過去の実績は将来の成果を保証しません。

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