BitMex Founder Predicts Ethereum Merge Success and Market Trends

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Introduction

George Soros's "Theory of Reflexivity" posits that market participants' biases influence asset prices, creating self-fulfilling prophecies. Applying this to Ethereum’s Merge, we find that:

The Merge’s success hinges solely on developer competence, independent of ETH’s price.

Key Changes Post-Merge

  1. Transition from PoW to PoS

    • Daily ETH emissions drop from ~13,000 (miners) to 1,000–2,000 (validators).
    • Fixed emission rates regardless of ETH price or network usage.
  2. Gas Fee Burning

    • ETH used for gas fees is permanently removed from circulation.
    • Variable based on network activity—a reflexive variable tied to ETH price.

Net ETH Supply = Block Emissions − Burned Gas Fees

Reflexivity in ETH’s Ecosystem

Factors Influencing L1 Adoption

  1. Market Sentiment

    • Media coverage and ETH price exhibit a 0.77 correlation (Google Trends data).
    • Rising prices attract users, fueling further price increases.
  2. DApp Quality

    • Developer activity grows with user adoption (reflexive loop).
    • High ETH prices → More users → More developers → Better DApps.

Two Post-Merge Scenarios

If Merge Succeeds:

If Merge Fails:

Market Sentiment & Derivatives

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Trading Strategies

For Merge Optimists

  1. Spot ETH: Direct exposure to potential upside.
  2. Lido Finance (LDO): Higher beta to Merge success (+6x since June 2022).
  3. Futures/Options: Leverage via December 2023 contracts (cheapest basis).

Shorting the Merge

Conclusion

The Merge’s reflexive dynamics favor long-term holders. While short-term volatility is likely, structural deflation could drive ETH to new highs post-Merge.

"Buy the rumor, hold through the news."

FAQ

Q: Will ETH become deflationary post-Merge?
A: Yes, if gas fees exceed block rewards—dependent on network usage.

Q: Why is the futures curve in contango?
A: Sellers hedge against Merge risks, masking underlying bullish sentiment.

Q: What’s the worst-case ETH price if Merge fails?
A: Likely $800–$1,000, per historical support levels.

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