· crypto support & resistance scanner

Hyperlane (HYPER) Support & Resistance Levels

$0.04030 ● live 1d timeframe trend: down

Hyperlane (HYPER) is trading around $0.04030 on the 1d timeframe, based on CoinEye's automatically computed supply and demand zones. The nearest support sits at $0.05500 (Major, moderate), about 36.48% below price. The nearest resistance is at $0.07412 (Major, strong), roughly 83.92% above. On the same timeframe, market structure reads as a downtrend, RSI is 23.9 (oversold). These levels are recomputed continuously from price action and volume across multiple exchanges; open the live chart for the up-to-the-minute zones, structure markers and multi-timeframe confluence.

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Resistance / supply zones (1d)

LevelTypeStrengthDistanceTouches
$0.07412Major resistance strong +83.92% 10
$0.10880Minor resistance weak +169.98% 2
$0.19185Minor resistance moderate +376.05% 5

Support / demand zones (1d)

LevelTypeStrengthDistanceTouches
$0.05500Major support moderate -36.48% 2
$0.06000Minor support weak -48.88% 2
$0.06550Minor support moderate -62.53% 2

Multi-timeframe snapshot

TFPriceNearest supportNearest resistanceTrendRSI
1d$0.04030 $0.05500$0.07412 down23.9
4h$0.04030 $0.05510$0.06185 down20.5
1w$0.04030 $—$0.07488 down30.6
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HYPER levels — frequently asked questions

What is the current price of Hyperlane (HYPER)?

Hyperlane (HYPER) is trading around $0.04030 on the 1d timeframe, based on CoinEye's live, auto-computed data.

What is the nearest support level for HYPER?

The nearest support for HYPER is around $0.05500 (Major, moderate), about 36.48% below the current price.

What is the nearest resistance level for HYPER?

The nearest resistance for HYPER is around $0.07412 (Major, strong), roughly 83.92% above the current price.

Is HYPER in an uptrend or downtrend?

On the 1d timeframe, Hyperlane's market structure currently reads as a downtrend, with RSI at 23.9 (oversold). Structure can change quickly — check the live chart.

How are HYPER's support and resistance levels calculated?

CoinEye computes them algorithmically from swing pivots and volume profile across multiple exchanges, scored by how often and how cleanly price has respected each level. They update continuously and are informational only (not financial advice).