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Hyperliquid USD Falls 6.1% to $52.44 as Momentum Turns Negative

August 3, 2026
02:01 AM
3 min read

Key Points

HYPEUSD fell 6.1% to $52.44 in 24 hours with 57% below-average volume.

RSI at 35.9 and Williams %R at -98.54 signal extreme oversold conditions.

Price trades $1.75 above the lower Bollinger Band at $50.69.

Meyka forecasts $60.61 in 12 months, a 15.6% gain from current levels.

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Hyperliquid USD fell 6.1% to $52.44 in the past 24 hours, erasing $3.40 from its price. No single news event explains the move. The decline extends a five-day slide of 10.4%, pushing the token toward oversold territory on multiple indicators. Trading volume sits 43% below the 30-day average, suggesting thin liquidity during the selloff.

Technical indicators flash oversold signals across the board

The RSI has dropped to 35.9, well below the 30 oversold threshold, indicating extreme selling pressure. The MACD histogram sits at -1.13 below its signal line, confirming downward momentum. Williams %R at -98.54 and Stochastic %K at 8.28 both point to deeply oversold conditions. Price has fallen below the 50-day moving average of $63.94, now trading $11.50 below that level.

Bollinger Bands show price near support as volatility compresses

HYPEUSD trades at $52.44, just $1.75 above the lower Bollinger Band at $50.69. The band width has compressed, with the upper band at $72.19 and middle at $61.44, reflecting lower volatility after the sharp decline. The ADX at 15.94 signals no strong directional trend, meaning the selloff lacks conviction from institutional players. This proximity to the lower band often attracts buyers looking for mean reversion.

Meyka forecasts recovery within one month and gains by year-end

Meyka’s one-month forecast of $52.90 suggests minimal further downside, just 0.9% above current price. The 12-month forecast of $60.61 implies 15.6% upside from today’s level, assuming the oversold bounce holds. The quarterly forecast reaches $77.30, a 47.4% gain from current levels. Forecasts may change due to market conditions, regulations, or unexpected events.

Volume collapse signals capitulation may be near

Trading volume of 242.6 million sits 57% below the 30-day average of 655 million, indicating weak participation in the selloff. The Money Flow Index at 20.84 confirms that selling pressure has exhausted most retail participants. Low volume during a decline often marks capitulation, a potential inflection point for reversal. The On-Balance Volume at 2.46 billion remains positive, suggesting accumulation beneath the surface.

Final Thoughts

HYPEUSD has hit extreme oversold levels on RSI, MACD, and Stochastic indicators, with price holding just above the lower Bollinger Band. The 43% drop in volume during the decline suggests capitulation rather than conviction. Meyka’s forecasts point to a potential bounce within weeks, though near-term direction depends on whether buyers step in at current support.

FAQs

Why did Hyperliquid USD drop 6.1% today?

No single news event triggered the move. Technical selling and oversold conditions across multiple indicators drove the decline.

Is HYPEUSD oversold right now?

Yes. RSI at 35.9, Williams %R at -98.54, and Stochastic %K at 8.28 all signal extreme oversold conditions.

What is Meyka’s price forecast for HYPEUSD?

One-month forecast is $52.90. Twelve-month forecast is $60.61, implying 15.6% upside from current price.

Where is the next support level for HYPEUSD?

The lower Bollinger Band at $50.69 is the nearest support. Price is $1.75 above it.

Disclaimer:

Cryptocurrency markets are highly volatile. This content is for informational purposes only. The Forecast Prediction Model is provided for informational purposes only and should not be considered financial advice. Meyka AI PTY LTD provides market data and sentiment analysis, not financial advice. Always do your own research and consider consulting a licensed financial advisor before making investment decisions.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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