Bitcoin News
By Sakamoto Nashi
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Early Whale Selling Puts Bitcoin Under Pressure. Ki Young Ju attributes the current Bitcoin market downturn to legacy whales realizing profits.
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ETF and MicroStrategy Inflows Provide Temporary Support. Earlier in 2025, Bitcoin’s price had benefited from inflows via spot ETFs and corporate…
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Market Cycle Analysis Suggests Limited Upside. On-chain profit-and-loss metrics provide a detailed look at Bitcoin’s market cycle.
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Potential Corrections Could Reach 30%. Although Ju does not expect an extreme 70-80% crash, he warns that a 30% correction is reasonable…
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The Importance of a Data-Driven Approach. Ju emphasizes that traders should base decisions on metrics rather than speculation.
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Institutional Accumulation Faces Challenges. While ETF and corporate inflows are important for market stability, they cannot completely offset…
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Conclusion. Bitcoin’s recent decline from $110,000 to $80,000 is primarily driven by early whale selling,…
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Bitcoin’s dramatic drop from $110,000 to around $80,000 in 2025 has raised concerns among traders and analysts alike.
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Ju notes that institutional whales, including spot ETF participants and MicroStrategy, hold significant amounts of Bitcoin, but their buying power has not been sufficient to…
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The data confirms that institutional inflows, though significant, are currently being overshadowed by early whale liquidation, leaving Bitcoin vulnerable to near-term declines.
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Earlier in 2025, Bitcoin’s price had benefited from inflows via spot ETFs and corporate accumulation, particularly by MicroStrategy.
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Despite these inflows, Ju explains that the sheer magnitude of early whale selling continues to outweigh institutional accumulation.
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On-chain profit-and-loss metrics provide a detailed look at Bitcoin’s market cycle. Ju’s analysis using the PnL index with a 365-day moving average indicates that Bitcoin has…
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In this phase, the market's valuation multiplier becomes neutral or flat, meaning that new buying power does not create the same amplified market-cap growth seen in earlier cycles.
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Ju supports this view with data from OKX futures long-short ratios, exchange leverage ratios, and buy-sell flow patterns.
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