【algorithmic api based crypto trading software for ethereum trading】
JPMorgan (JPM) CEO Jamie Dimon said the bank is algorithmic api based crypto trading software for ethereum 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
-
Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
-
How to evaluate a platform for Spot Trading 431
-
Common mistakes to avoid with Risk Management 864
-
Beginner guide to Webhook Trading 520
-
The bitcoin treasury boom is unwinding as some companies and governments sell holdings
-
What makes a strong solution for Trade Automation 855
- 最近发表
-
- Galaxy Digital's testnet suffers hack but no client funds or information were compromised
- Advanced insights into Execution Speed 738
- Why Mobile Trading App matters in volatile markets
- How to evaluate a platform for Spot Trading 351
- Bitcoin ETFs post first monthly inflows since October as price stabilizes
- What makes a strong solution for Quantitative Trading 523
- What traders should know about Strategy Backtesting 162
- Why Mobile Trading App matters in volatile markets 359
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Why more users are adopting Strategy Backtesting 582
- 随机阅读
-
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- How Futures Trading supports long term strategy development 90
- What traders should know about Strategy Backtesting 722
- How Trade Automation supports smarter execution
- The Protocol: Quantum computing could break Bitcoin sooner, says Google
- Common mistakes to avoid with Bot Performance 156
- Beginner guide to Portfolio Automation 965
- How Bot Performance improves daily trading workflows 836
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- How Trade Automation supports smarter execution 195
- How Automated Crypto Trading improves daily trading workflows 161
- Key benefits of Algorithmic Trading for modern traders
- Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- What traders should know about Portfolio Automation 745
- How Paper Trading supports smarter execution 549
- Beginner guide to Webhook Trading 760
- Franklin Templeton launches crypto division with 250 Digital acquisition
- Common mistakes to avoid with Signal Execution 487
- Advanced insights into Algorithmic Trading 372
- Beginner guide to Trading Dashboard 908
- 搜索
-
- 友情链接
-
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Crypto Long & Short: Governance is the real Layer 1
- Galaxy Digital's testnet suffers hack but no client funds or information were compromised
- CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher