Trader turns $80 million into $500,000 as leverage wipes out gains

2 min read     Updated on 13 Jun 2026, 05:19 PM
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AI Summary

A crypto trader known as Jawz revealed that an $80 million position in OlympusDAO evaporated to $500,000 due to lifestyle inflation and leveraged revenge trading. Market data from June 2026 shows similar patterns in Bitcoin and XRP, where forced liquidations totaled $3 billion as long positions were unwound.

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A crypto trader known as Jawz disclosed Friday that he turned a presale allocation into $80 million, only to watch his net worth evaporate to $500,000 after a streak of financial excess and leveraged trading. The loss highlights the risks of holding unrealized gains and attempting to recover losses through high-risk derivatives strategies.

Jawz secured a presale allocation in OlympusDAO in 2021 and staked the entire position. The investment compounded daily to reach $80 million at its peak. Instead of realizing profits, he increased spending on luxury goods and high-stakes gambling. Expenditures included private jets to Dubai, $40,000 weekends in Monaco, a collection of rarely driven cars, and casino visits in Vegas and Macau where he lost up to $2 million in a single night.

As the value of OHM unwound, Jawz did not exit the position. He doubled down and employed leverage, first at 5x and subsequently at 10x, in an attempt to trade back to the peak. Each liquidation event reduced the principal further, driving the balance from $80 million to $20 million, then to $4 million, and finally to $500,000. He described the experience with the phrase: "Revenge trading is just grief with a chart open."

Lessons from the Loss

Jawz outlined four key lessons derived from the experience:

  • Unrealized gains are not money
  • Getting in early is luck, not skill
  • Lifestyle inflation goes unnoticed until it is too late
  • Leverage does not get you back to even, it gets you to zero faster

Market Data Shows Similar Patterns

Recent market activity in June 2026 indicates that the behavioral pattern described by Jawz is prevalent across the broader crypto market. Between June 4 and June 6, Bitcoin (CRYPTO: BTC) dropped from $67,000 to $59,100. This decline triggered $3 billion in forced liquidations across crypto derivatives.

Data from June 4 shows that 84.7% of all closed Bitcoin positions were longs. The single largest liquidation during this period was a $59.67 million Bitcoin position on HTX, which was closed within a single candle.

XRP (CRYPTO: XRP) exhibited a similar trend on June 5. The asset broke below $1.25 before hitting $1.10 as automated systems closed leveraged long positions in waves across Binance, Bybit, and OKX. Futures open interest on these exchanges remains at $1.4 billion, suggesting that leverage has not yet fully cleared from the system.

The behavioral fingerprint of holding through losses, adding to positions rather than exiting, and revenge trading toward a prior peak is evident in both the trader's account and the current derivatives data for Bitcoin and XRP.

Will the prevalence of forced liquidations in June 2026 accelerate a broader market correction or prompt a shift toward lower leverage ratios?

How might exchanges adjust their risk management protocols in response to the $3 billion in liquidations and the persistence of high open interest?

Could the widespread pattern of 'revenge trading' lead to increased regulatory scrutiny regarding the marketing of derivatives to retail investors?

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Hayes: Bitcoin rally blocked by AI debt binge

1 min read     Updated on 13 Jun 2026, 01:40 AM
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AI Summary

Arthur Hayes argued that Bitcoin cannot rally until the AI bubble pops, asserting that the artificial intelligence sector has absorbed all new liquidity that could have flowed into cryptocurrencies. Hayes identified three catalysts to deflate AI stocks: rising oil prices, massive capital raising by tech firms, and potential political shifts. He adjusted his portfolio by selling specific altcoins while retaining Bitcoin and Ethereum.

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Arthur Hayes argued on Tuesday that Bitcoin cannot rally until the AI bubble pops, asserting that the artificial intelligence sector has absorbed all new liquidity that could have flowed into cryptocurrencies. Hayes laid out the core math in his essay, noting that US M2 rose by $1.5 trillion between November 2022 and today. Over the same period, AI companies issued roughly $1.5 trillion in debt to fund data center construction. The numbers match almost exactly, meaning AI absorbed every dollar of new liquidity before it could find its way into Bitcoin.

"Bitcoin never had a chance," Hayes wrote. "The only reason Bitcoin rallied strongly off the November 2022 low is that the AI debt binge really kicked into gear starting in 2025." Bitcoin peaked in October 2025 precisely as AI capital expenditure reached previously unimaginable heights.

Catalysts to Pop the AI Bubble

Hayes identified three catalysts that he believes will deflate AI stocks. First, rising oil prices from the Iran war directly compress AI model company margins since data centers run on electricity generated from natural gas. Second, SpaceX, Anthropic, and OpenAI are collectively raising more capital than all dot-com IPOs combined, and Hayes argues the float expansion between now and September virtually guarantees market disappointment. Third, Trump may adopt anti-AI rhetoric to win undecided voters ahead of November midterms, similar to a Korean politician's comments that sent the Kospi nearly limit down before the government walked it back.

"Can the AI complex continue to rip at $150 oil? Doubtful," Hayes wrote. He now holds large positions in US energy producers as a direct hedge against rising hydrocarbon prices under both a deal and no-deal scenario with Iran.

Portfolio Adjustments

Hayes sold HYPE, NEAR, WLD, and ZEC last week, explaining that when AI stocks fall rapidly, investors cannot buy crypto even if it outperforms on a relative basis. He kept Bitcoin and Ethereum, arguing that once the AI bubble pops it will trigger a financial crisis that forces a large monetary expansion, which historically benefits Bitcoin.

"I am confident that Bitcoin will dump then pump," Hayes stated. He plans to revisit markets in early September, leaving open the option to buy back at higher or lower levels after the dust settles.

How might a sustained rise in oil prices specifically impact the operational costs and profitability margins of major AI data center operators?

What indicators should investors monitor to determine if the anticipated 'float expansion' of AI companies is leading to market disappointment?

Could regulatory pressure or anti-AI rhetoric from political campaigns accelerate the deflation of the AI bubble?

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