时间：2026-04-05 00:47:56 来源：Advanced Cloud Markets Daily

JPMorgan (JPM) CEO Jamie Dimon said the bank is smart api based crypto trading software appconsidering entering the prediction markets space, signaling growing interest from major financial institutions in a sector that has expanded rapidly in recent months, including among crypto-native companies.\n\n“It’s possible one day we’ll do something like that,” Dimon said on CBS on Tuesday, though he ruled out offering markets in sports or politics.\n\n"There’s a bunch of stuff we won’t do. And obviously, we have strict rules around insider information.”\n\nGoldman Sachs (GS) has expressed similar ambitions . CEO David Solomon said during the bank’s January earnings call that the firm is actively exploring the space. “I personally met with the two big prediction companies and their leadership in the last two weeks and spent a couple of hours with each to learn more about that," he said. "We have a team of people here that are spending time with them and are looking at it.”\n\nThe comments highlight how quickly the sector has evolved. Not long ago, prediction markets were a niche corner of finance dominated by just two credible players: Polymarket and Kalshi. Today, competition is intensifying rapidly.\n\nSeveral crypto-native platforms, including Coinbase (COIN) and Robinhood (HOOD), have integrated prediction market trading into their offerings, expanding access to retail users and increasing overall market activity.\n\nAt the same time, the early leaders continue to grow. Polymarket has secured major partnerships and investments, including ties with Intercontinental Exchange , the parent company of the New York Stock Exchange. The company is believed to be valued at around $20 billion. Rival platform Kalshi recently reached a $22 billion valuation following a funding round led by Coatue Management .\n\nThe two platforms take different technological approaches. Polymarket operates on blockchain infrastructure, using networks like Polygon (POL) to record trades and settle positions through smart contracts. Users deposit stablecoins, place bets on event outcomes and receive automated payouts based on verified results.\n\nKalshi does not use blockchain technology; instead, it operates more like a traditional exchange, offering event contracts under a regulated framework with centralized order matching and settlement.\n\nIt remains unclear how JPMorgan or Goldman Sachs would structure their own offerings, particularly whether they would adopt blockchain-based systems or stick to traditional infrastructure.\n\nRegulation remains a key uncertainty. The legal status of prediction markets in the U.S. is still evolving, especially around what types of events can be offered and how contracts are classified. Major banks are likely to wait for clearer guidance before launching products.\n\nEarlier this month, the Commodity Futures Trading Commission (CFTC) took two significant steps toward building a regulatory framework for prediction markets, signaling that oversight of the sector is beginning to take shape.

上一篇：Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
下一篇：Jamie Dimon signals JPMorgan entry into prediction markets as competition surges

• ·Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
• ·How Paper Trading supports smarter execution 229
• ·Beginner guide to Portfolio Automation 325
• ·What traders should know about Spot Trading 551
• ·Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
• ·Key benefits of Quantitative Trading for modern traders 243
• ·Advanced insights into Trade Automation 635
• ·How Automated Crypto Trading improves daily trading workflows 641
• ·Cango raises capital as it faces NYSE delisting risk with shares below $1
• ·Common mistakes to avoid with Mobile Trading App 499
• ·How to evaluate a platform for Strategy Backtesting 202
• ·Why Futures Trading matters in volatile markets 450
• ·Metaplanet acquires 5,075 BTC, jumps to third largest bitcoin treasury company
• ·What makes a strong solution for Trade Automation 935
• ·How Mobile Trading App supports long term strategy development 399
• ·Why Bot Performance matters in volatile markets 736