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Bitcoin falls below $81,000 as Asian equities tumble

The Block reported that Bitcoin dropped below $81,000 as risk-off sentiment weighed on Asian equities, with South Korea's Kospi losing 8% and Japan's Nikkei 225 declining 5% during morning trading. CoinDesk later reported that Bitcoin held above $80,000 as the Asian stock rout dragged altcoins lower, with the CoinDesk 80 falling 2.2% and all but six CoinDesk 100 members declining.

Why “Unverified”

  • 2 independent sources (The Block, CoinDesk), but no primary confirmation

2 independent source groups across 2 posts · evidence score 84/100. How labels work

Market around the story

AssetPrice at first report6h before1h before1h after6h after1h move vs normal24h volume vs median
BTC $80,806 −1.1% −0.80% ! +0.92% +0.47% 2.6σ 1.3×

Returns are measured from the moment the story first appeared. “vs normal” compares the move with the asset's typical hourly move over the previous 30 days.

What the sources claim

  1. Bitcoin dropped below $81,000 amid risk-off sentiment weighing on Asian equities. BTC

    “Bitcoin drops below $81,000 as risk-off sentiment weighs on Asian equities”
    The Block
  2. Asian equities tumbled, with South Korea's Kospi losing 8% and Japan's Nikkei 225 declining 5% during morning trading.

    “Asian equities tumbled on Thursday, with South Korea's Kospi losing 8% and Japan's Nikkei 225 declining 5% during morning trading.”
    The Block
  3. Bitcoin held above $80,000 as the Asian stock rout dragged altcoins lower. BTC

    “Bitcoin holds above $80,000 as Asian stock rout drags altcoins lower”
    CoinDesk
  4. Bitcoin fell to just above $80,000 as South Korea's Kospi plunged 8%. BTC

    “Bitcoin fell to just above $80,000 as South Korea’s Kospi plunged 8%”
    CoinDesk
  5. The CoinDesk 80 fell 2.2% and all but six CoinDesk 100 members declined.

    “the CoinDesk 80 fell 2.2% and all but six CoinDesk 100 members declined”
    CoinDesk

Sources

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Summary and claims extracted by AI with prompt analyze-story@5 on 2026-10-15 11:00 UTC. Labels are computed from the sources, not by the model.