【reliable crypto quant trading platform with cloud deployment】
时间:2026-04-11 07:36:36 来源:Cortex Markets Watch
Metaplanet (3350) continued to scale its accumulation strategy through the first quarter of 2026,reliable crypto quant trading platform with cloud deployment 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).
-
Crypto rebounds as oil dips on Trump comments, but derivatives signal weak convictionWhy more users are adopting Strategy Backtesting 102How Bot Performance improves daily trading workflows 356How Paper Trading supports smarter execution 869Bitcoin ETFs post first monthly inflows since October as price stabilizesHow Bot Performance supports long term strategy development 376What traders should know about Webhook TradingAdvanced insights into Quantitative Trading 943Bitcoin’s crashes are shrinking, and Wall Street is starting to noticeBeginner guide to Webhook Trading 520
上一篇:Bitcoin ETFs post first monthly inflows since October as price stabilizes
下一篇:Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
下一篇:Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
相关内容
- ·The Protocol: Quantum computing could break Bitcoin sooner, says Google
- ·Advanced insights into Quantitative Trading 783
- ·What traders should know about Strategy Backtesting 482
- ·Why Market Analysis matters in volatile markets
- ·Crypto Long & Short: Governance is the real Layer 1
- ·Key benefits of Trade Automation for modern traders 815
- ·What traders should know about Spot Trading 791
- ·How to evaluate a platform for Strategy Optimization 374
- ·Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- ·What traders should know about Portfolio Automation 585
- ·Why Risk Management matters in volatile markets 484
- ·How to evaluate a platform for Trading Dashboard 328
- ·Cango raises capital as it faces NYSE delisting risk with shares below $1
- ·Key benefits of Algorithmic Trading for modern traders
- ·Why more users are adopting Trading Dashboard 948
- ·Why more users are adopting Trading Dashboard 868
最新内容
- ·The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- ·What makes a strong solution for Paper Trading 489
- ·What makes a strong solution for Multi Exchange Trading 946
- ·How Signal Execution supports long term strategy development 547
- ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- ·Why more users are adopting Spot Trading 651
- ·How Automated Crypto Trading supports long term strategy development 101
- ·How to evaluate a platform for Portfolio Automation 705
- ·Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs
- ·How Mobile Trading App supports long term strategy development 879
推荐内容
热点内容
- ·Franklin Templeton launches crypto division with 250 Digital acquisition
- ·Key benefits of Quantitative Trading for modern traders 563
- ·What traders should know about Strategy Backtesting 642
- ·How to evaluate a platform for Spot Trading 191
- ·The Protocol: Quantum computing could break Bitcoin sooner, says Google
- ·Why Mobile Trading App matters in volatile markets 439
- ·Advanced insights into Paper Trading 909
- ·What makes a strong solution for Trade Automation
- ·CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
- ·Why Risk Management matters in volatile markets 564
