时间：2026-04-05 10:11:49 来源：Blue Summit Strategies Daily

JPMorgan (JPM) CEO Jamie Dimon said the bank is real time crypto auto trading app for signal automationconsidering 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：Grayscale’s research head says tokenization will happen in waves and explains how to play it
下一篇：OpenAI raises a record $122 billion as revenue crosses $2 billion per month

• ·Bitcoin ETFs post first monthly inflows since October as price stabilizes
• ·Why Automated Crypto Trading matters in volatile markets 941
• ·Why Automated Crypto Trading matters in volatile markets 781
• ·How to evaluate a platform for Trading Dashboard
• ·Crypto Long & Short: Governance is the real Layer 1
• ·Common mistakes to avoid with Risk Management 144
• ·How to evaluate a platform for Strategy Backtesting 602
• ·Why more users are adopting Portfolio Automation 925
• ·Bitcoin ETFs post first monthly inflows since October as price stabilizes
• ·Common mistakes to avoid with Futures Trading 750
• ·Beginner guide to Strategy Backtesting 942
• ·How Automated Crypto Trading improves daily trading workflows 561
• ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
• ·How Automated Crypto Trading improves daily trading workflows 961
• ·How Risk Management supports long term strategy development 364
• ·Why more users are adopting Strategy Optimization 754