Bitcoin Surges Past $110,000: Potential July Volatility and Standard Chartered's $200K Prediction

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Bitcoin maintained its upward momentum above $108,500 during Asian trading hours on July 3rd, 2025, following a breakout from its recent narrow price range. The cryptocurrency briefly challenged the $110,000 level for the first time in nearly a month, though data suggests professional traders remain cautiously optimistic.

Key Market Movements

Derivatives Market Insights

👉 Bitcoin derivatives indicators reveal several interesting trends:

MetricCurrent StatusNeutral Threshold
Futures PremiumBelow 5%5%
25% Delta Skew0% (neutral)6%+ (bearish)

The stability in options markets suggests balanced risk perception between upward and downward movements.

Asian Market Dynamics

Chinese cryptocurrency demand shows notable declines, evidenced by:

July Volatility Forecast

K33 Research highlights three potential volatility catalysts:

  1. Trump Administration Policies:

    • Expansionary budget bill ("Big Beautiful Bill")
    • Potential $3.3 trillion deficit increase
  2. July 9th Tariff Deadline
  3. July 22nd Crypto Executive Order:

    • Possible updates on U.S. strategic Bitcoin reserves

"July presents concentrated Trump-related volatility potential," notes Vetle Lunde of K33 Research, while emphasizing current market stability without excessive leverage.

Standard Chartered's Bullish Outlook

The bank predicts Bitcoin could reach:

Analyst Geoff Kendrick cites:

FAQ Section

Q: Why are traders cautious despite Bitcoin's price surge?
A: Derivatives metrics suggest professional traders await stronger confirmation of sustained upward momentum before committing fully bullish positions.

Q: What makes July particularly volatile for Bitcoin?
A: Multiple policy deadlines and potential macroeconomic shifts concentrated in this month create exceptional uncertainty.

Q: How does Standard Chartered justify its $200K prediction?
A: The analysis considers structural changes in market participation (ETFs, institutional buyers) absent in previous cycles, combined with traditional supply dynamics.

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