【mobile crypto portfolio automation platform platform】
JPMorgan (JPM) CEO Jamie Dimon said the bank is mobile crypto portfolio automation platform platformconsidering 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.
相关推荐
-
The Protocol: Quantum computing could break Bitcoin sooner, says Google
-
How to evaluate a platform for Portfolio Automation 385
-
Why Automated Crypto Trading matters in volatile markets 781
-
Common mistakes to avoid with Futures Trading 590
-
Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
-
Why more users are adopting Strategy Optimization 674
- 最近发表
-
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- Advanced insights into Algorithmic Trading 452
- Common mistakes to avoid with Futures Trading 590
- What makes a strong solution for Trade Automation 935
- Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- How Algorithmic Trading supports smarter execution 92
- Common mistakes to avoid with Mobile Trading App 739
- What makes a strong solution for Multi Exchange Trading 706
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- Common mistakes to avoid with Market Analysis 133
- 随机阅读
-
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- How Signal Execution improves daily trading workflows 367
- How Bot Performance improves daily trading workflows 516
- How to evaluate a platform for Webhook Trading 820
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- Why Signal Execution matters in volatile markets 907
- Why Futures Trading matters in volatile markets 290
- How Automated Crypto Trading supports long term strategy development 261
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Advanced insights into Execution Speed 178
- Common mistakes to avoid with Risk Management 784
- Beginner guide to Spot Trading 371
- Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs
- How Market Analysis supports long term strategy development 753
- Advanced insights into Execution Speed 98
- Why Risk Management matters in volatile markets 164
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- What traders should know about Trading Dashboard 208
- Key benefits of Paper Trading for modern traders 609
- How Execution Speed supports smarter execution 858
- 搜索
-