【beginner friendly crypto risk management trading platform for quantitative researchers】
JPMorgan (JPM) CEO Jamie Dimon said the bank is beginner friendly crypto risk management trading platform for quantitative researchersconsidering 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
-
Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
-
How Bot Performance improves daily trading workflows 916
-
Advanced insights into Quantitative Trading 303
-
Beginner guide to Spot Trading 131
-
Franklin Templeton launches crypto division with 250 Digital acquisition
-
Beginner guide to Strategy Optimization 634
- 最近发表
-
- Franklin Templeton launches crypto division with 250 Digital acquisition
- What traders should know about Webhook Trading 860
- Why more users are adopting Order Management
- Common mistakes to avoid with Market Analysis 853
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- What makes a strong solution for Execution Speed 398
- How Quantitative Trading supports smarter execution
- Advanced insights into Quantitative Trading 303
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- How Multi Exchange Trading supports smarter execution 446
- 随机阅读
-
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- What traders should know about Portfolio Automation
- How Automated Crypto Trading improves daily trading workflows 801
- Why more users are adopting Strategy Backtesting 982
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- Beginner guide to Spot Trading 771
- Key benefits of Execution Speed for modern traders 918
- How Trade Automation supports smarter execution 115
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- How Paper Trading supports smarter execution 549
- What traders should know about Trading Dashboard
- How to evaluate a platform for Spot Trading 511
- Franklin Templeton launches crypto division with 250 Digital acquisition
- Why more users are adopting Order Management 537
- How Automated Crypto Trading improves daily trading workflows 161
- Common mistakes to avoid with Signal Execution 647
- Bitcoin ETFs post first monthly inflows since October as price stabilizes
- Beginner guide to Trading Dashboard 588
- How Automated Crypto Trading improves daily trading workflows 401
- Beginner guide to Portfolio Automation
- 搜索
-