【professional crypto strategy optimization software for 24 hour trading】
JPMorgan (JPM) CEO Jamie Dimon said the bank is professional crypto strategy optimization software for 24 hour tradingconsidering 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
-
Uniswap Foundation held $85.8M at year-end, committed $26M in grants during 2025
-
Why Bot Performance matters in volatile markets 336
-
Key benefits of Multi Exchange Trading for modern traders 986
-
Why Futures Trading matters in volatile markets 770
-
Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
-
How Futures Trading supports long term strategy development 410
- 最近发表
-
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- How Automated Crypto Trading improves daily trading workflows 321
- How to evaluate a platform for Order Management 957
- Advanced insights into Trade Automation 315
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- Why more users are adopting Trading Dashboard 708
- What traders should know about Spot Trading 551
- Common mistakes to avoid with Mobile Trading App 179
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- What makes a strong solution for Algorithmic Trading 112
- 随机阅读
-
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- How Automated Crypto Trading improves daily trading workflows 241
- How Automated Crypto Trading improves daily trading workflows 961
- Advanced insights into Quantitative Trading 783
- Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- Why Futures Trading matters in volatile markets 530
- How to evaluate a platform for Spot Trading 191
- Why Market Analysis matters in volatile markets 953
- Crypto Long & Short: Governance is the real Layer 1
- How Market Analysis supports long term strategy development 353
- Advanced insights into Algorithmic Trading 772
- How Paper Trading supports smarter execution 709
- Uniswap Foundation held $85.8M at year-end, committed $26M in grants during 2025
- What traders should know about Order Management 117
- How Quantitative Trading supports smarter execution 743
- What makes a strong solution for Trade Automation 295
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- What traders should know about Spot Trading 551
- How Execution Speed supports smarter execution 698
- Common mistakes to avoid with Mobile Trading App 179
- 搜索
-
- 友情链接
-
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Franklin Templeton launches crypto division with 250 Digital acquisition
- Elon Musk's X to deploy scam kill switch by auto-locking first-time crypto mentioners
- What next as XRP rises to $1.33 but fails to break out