【automated crypto trading system with mobile app access software】
JPMorgan (JPM) CEO Jamie Dimon said the bank is automated crypto trading system with mobile app access softwareconsidering 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
-
Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
-
How Bot Performance improves daily trading workflows 116
-
Why Mobile Trading App matters in volatile markets 519
-
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 Automated Crypto Trading 841
- 最近发表
-
- Bitcoin ETFs post first monthly inflows since October as price stabilizes
- Why Market Analysis matters in volatile markets
- Advanced insights into Trade Automation 315
- Why more users are adopting Order Management 937
- CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
- Advanced insights into Trade Automation 395
- What traders should know about Webhook Trading 300
- Key benefits of Algorithmic Trading for modern traders 872
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- Beginner guide to Strategy Optimization
- 随机阅读
-
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- Key benefits of Execution Speed for modern traders 438
- Beginner guide to Trading Dashboard 108
- Common mistakes to avoid with Market Analysis 773
- Crypto Long & Short: Governance is the real Layer 1
- What makes a strong solution for Algorithmic Trading 352
- How to evaluate a platform for Webhook Trading 980
- How Signal Execution supports long term strategy development 787
- Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- Key benefits of Quantitative Trading for modern traders 243
- Why Signal Execution matters in volatile markets 507
- Beginner guide to Strategy Backtesting 142
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- Beginner guide to Webhook Trading 120
- How Algorithmic Trading supports smarter execution 332
- How Risk Management supports long term strategy development 604
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- Why more users are adopting Strategy Backtesting 342
- Key benefits of Paper Trading for modern traders 129
- What makes a strong solution for Paper Trading 329
- 搜索
-
- 友情链接
-
- OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- Crypto consolidates as volatility cools and futures markets tilt bearish
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs