Meteora (MET) is showing a powerful move, with MET/USDT trading around $0.447, up approximately 35.10% over the last 24 hours.

After reaching a 24-hour high of $0.4622, attention is now turning to whether MET can break the nearby resistance zone and challenge the $0.48 psychological level.

📊 1H Technical View

On the 1H chart:

• MA(7): $0.4052
• MA(25): $0.3432
• MA(99): $0.3131

MET is trading well above all three moving averages, showing strong short-term momentum.

The immediate resistance levels are:

$0.4622 → $0.4703

A sustained move above this area could bring the $0.48 region into focus.

On the downside, the first support is around $0.4348, followed by $0.3994 and $0.3641.

📈 1D Technical View

The daily chart also shows a strong structure:

• MA(7): $0.3249
• MA(25): $0.2986
• MA(99): $0.2086

MET is trading significantly above all three daily moving averages.

The main daily resistance area is around:

$0.4622 → $0.4763

A decisive breakout above this region could strengthen the current bullish momentum.

However, after a move of more than 35% in 24 hours, volatility and profit-taking risk should not be ignored.

🔑 Key Levels to Watch

Resistance:
$0.4622 → $0.4703 → $0.4763 → $0.48

Support:
$0.4348 → $0.3994 → $0.3641

👀 What Comes Next?

MET has delivered a strong 35.10% 24-hour gain, with approximately $19.18M in USDT volume.

Both the 1H and 1D charts show price comfortably above their major moving averages, keeping the broader technical structure positive.

The immediate test is the $0.4622–$0.4763 resistance zone.

If buyers can sustain a breakout above this area, the $0.48 level could become the next psychological level to watch.

On the other hand, rejection around resistance could lead to consolidation or a pullback toward nearby support levels.

For now, $0.4622–$0.48 is the key zone to watch.

This article is for educational and informational purposes only and is not financial advice. Crypto markets are highly volatile, especially after sharp price movements. Technical levels can change quickly and are based on the chart data available at the time of writing.

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