时间：2026-04-04 04:39:13 来源：Pro Orbit Markets

Metaplanet (3350) continued to scale its accumulation strategy through the first quarter of 2026,risk controlled crypto quant trading platform with risk management acquiring 5,075 BTC for approximately $398 million, implying an average purchase price of about $78,000 per coin.\n\nThe Tokyo-based firm has has generated a BTC yield of 2.8% year-to-date.\n\nAs of March 31, Metaplanet holds a total of 40,177 BTC, acquired for roughly $3.9 billion, with an average cost basis of approximately $97,000 per BTC.\n\nMetaplanet is now the third largest bitcoin treasury company worldwide, overtaking MARA Holdings after the miner reduced its bitcoin stack significantly.\n\nTwenty One Capital (XXI) holds second place with 43,514 BTC, according to Bitcoin Treasuries , while Strategy (MSTR) is by far and away the largest with over 762,000.\n\nShares of Metaplanet were down 2%, trading at 302 yen ($1.89).

上一篇：Grayscale’s research head says tokenization will happen in waves and explains how to play it
下一篇：The bitcoin treasury boom is unwinding as some companies and governments sell holdings

• ·OpenAI raises a record $122 billion as revenue crosses $2 billion per month
• ·Why more users are adopting Portfolio Automation 605
• ·Why Bot Performance matters in volatile markets 416
• ·What traders should know about Trading Dashboard 928
• ·Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
• ·Key benefits of Multi Exchange Trading for modern traders 826
• ·What traders should know about Spot Trading 871
• ·How Bot Performance improves daily trading workflows 676
• ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
• ·Why more users are adopting Trading Dashboard 228
• ·What traders should know about Strategy Backtesting 402
• ·Beginner guide to Spot Trading 691
• ·Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
• ·What makes a strong solution for Trade Automation 935
• ·How Futures Trading improves daily trading workflows 870
• ·Advanced insights into Algorithmic Trading 772