【secure crypto trading automation software platform】
时间:2026-04-04 09:19:10 来源:Ultra Pulse Insights Daily
JPMorgan (JPM) CEO Jamie Dimon said the bank is secure crypto trading automation software 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.
-
Jamie Dimon signals JPMorgan entry into prediction markets as competition surgesCommon mistakes to avoid with Signal Execution 887What makes a strong solution for Trade Automation 615Why Risk Management matters in volatile markets 404Galaxy Digital's testnet suffers hack but no client funds or information were compromisedWhy more users are adopting Trading Dashboard 308How to evaluate a platform for Trading Dashboard 408What makes a strong solution for Quantitative Trading 763Grayscale’s research head says tokenization will happen in waves and explains how to play itHow to evaluate a platform for Webhook Trading 340
上一篇:OpenAI raises a record $122 billion as revenue crosses $2 billion per month
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
- ·Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- ·Beginner guide to Strategy Optimization 634
- ·Advanced insights into Algorithmic Trading 452
- ·Key benefits of Paper Trading for modern traders 769
- ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- ·Key benefits of Execution Speed for modern traders 918
- ·How Bot Performance improves daily trading workflows
- ·How Automated Crypto Trading supports long term strategy development
- ·Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- ·Beginner guide to Strategy Backtesting
- ·Common mistakes to avoid with Futures Trading 670
- ·How to evaluate a platform for Order Management
- ·Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- ·Key benefits of Trade Automation for modern traders 175
- ·Key benefits of Quantitative Trading for modern traders 323
- ·Why more users are adopting Strategy Backtesting 502
最新内容
- ·Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- ·Why Market Analysis matters in volatile markets 953
- ·How to evaluate a platform for Webhook Trading 420
- ·Why Bot Performance matters in volatile markets 256
- ·Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- ·Beginner guide to Strategy Backtesting 702
- ·How Multi Exchange Trading supports smarter execution 526
- ·What makes a strong solution for Trade Automation 135
- ·Grayscale’s research head says tokenization will happen in waves and explains how to play it
- ·How Futures Trading improves daily trading workflows 150
推荐内容
热点内容
- ·Grayscale’s research head says tokenization will happen in waves and explains how to play it
- ·How Futures Trading improves daily trading workflows 630
- ·Key benefits of Quantitative Trading for modern traders 963
- ·Why Mobile Trading App matters in volatile markets 359
- ·The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- ·How Paper Trading supports smarter execution 469
- ·Advanced insights into Trade Automation 955
- ·Why more users are adopting Strategy Backtesting 342
- ·Bitcoin ETFs post first monthly inflows since October as price stabilizes
- ·What makes a strong solution for Trade Automation 215
