Digital Currency X Technology Inc

Digital Currency X Technology Inc(DCX)の株価予測

$1.180

-0.048 (-4.07%)終値時点

価格予想

1-Day Price Prediction
+0.61%
1-Week Prediction
+0.96%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
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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 DCX の予測・予想

Alphio's DCX stock price prediction model matches the current Digital Currency X Technology Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.19 (+0.61%). The 1-week path is $1.19 (+0.96%). 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.

Digital Currency X Technology Inc 株は買うべき?

DCX is not a good buy right now due to its extremely low RSI of 10.842, indicating oversold conditions, and a staggering year-to-date change of -99.84%. The stock is currently trading at $1.18, which is significantly below its historical performance, and the forward P/E ratio is 0, suggesting no expected earnings growth in the near future. The main risk is the company's financial instability, highlighted by a current ratio of 0.76 and a negative total equity of -179,267,000 USD, indicating potential liquidity issues.

DCX の株価は Friday に $1.18 で引け、その前に下落 -4.07%

Digital Currency X Technology Inc (DCX) last closed at $1.18, losing -4.07%. These facts feed the 1-day and 1-week DCX price prediction above.

予想の要因

Digital Currency X Technology Inc(DCX)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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

類似チャートパターン

直近の値動きが DCX に最も近い銘柄を、類似度順に表示します。

DCX の季節性分析

Historically the probability of a positive October return for DCX is 0.00%. July offers the highest probability of a positive month at 22.73%, 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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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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