当前位置:首页 > Trading Strategies > 【quantitative trading platform for digital assets for grid trading solution】 正文
【quantitative trading platform for digital assets for grid trading solution】
时间:2026-04-04 11:00:29 来源:Prime Desk
JPMorgan (JPM) CEO Jamie Dimon said the bank is quantitative trading platform for digital assets for grid trading solutionconsidering 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.
-
Beyond T-bills: OpenEden introduces tokenized high-yield corporate bondHow Trade Automation supports smarter execution 195How to evaluate a platform for Trading Dashboard 88What makes a strong solution for Quantitative Trading 603Galaxy Digital's testnet suffers hack but no client funds or information were compromisedBeginner guide to Webhook Trading 600What traders should know about Strategy Optimization 894Key benefits of Algorithmic Trading for modern traders 472The Protocol: Quantum computing could break Bitcoin sooner, says GoogleAdvanced insights into Quantitative Trading 623
上一篇:Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
下一篇:CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
下一篇:CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
相关内容
- ·OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- ·Why more users are adopting Portfolio Automation 845
- ·Beginner guide to Portfolio Automation 725
- ·How Bot Performance improves daily trading workflows 356
- ·Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- ·Common mistakes to avoid with Automated Crypto Trading 201
- ·Why more users are adopting Spot Trading 891
- ·Advanced insights into Quantitative Trading 623
- ·Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- ·Key benefits of Trade Automation for modern traders 495
- ·Common mistakes to avoid with Market Analysis 853
- ·Common mistakes to avoid with Futures Trading 430
- ·Bitcoin ETFs post first monthly inflows since October as price stabilizes
- ·What makes a strong solution for Algorithmic Trading 912
- ·How Mobile Trading App supports long term strategy development 879
- ·What traders should know about Strategy Optimization 894
最新内容
- ·Grayscale’s research head says tokenization will happen in waves and explains how to play it
- ·Why more users are adopting Strategy Backtesting 982
- ·How Bot Performance improves daily trading workflows 276
- ·Advanced insights into Multi Exchange Trading 486
- ·The Protocol: Quantum computing could break Bitcoin sooner, says Google
- ·Beginner guide to Portfolio Automation 485
- ·Key benefits of Trade Automation for modern traders 655
- ·What makes a strong solution for Execution Speed 478
- ·Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- ·Common mistakes to avoid with Mobile Trading App 579
推荐内容
热点内容
- ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- ·Why more users are adopting Spot Trading 91
- ·Why Risk Management matters in volatile markets 644
- ·How Futures Trading improves daily trading workflows 310
- ·OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- ·Common mistakes to avoid with Signal Execution 887
- ·How Futures Trading supports long term strategy development 730
- ·How Bot Performance improves daily trading workflows 596
- ·OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- ·What traders should know about Trading Dashboard 128
