【bitcoin and altcoin trading bot with multi exchange support tool】
JPMorgan (JPM) CEO Jamie Dimon said the bank is bitcoin and altcoin trading bot with multi exchange support toolconsidering 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
-
Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
-
Why more users are adopting Strategy Optimization 274
-
How Trade Automation supports smarter execution 435
-
How Bot Performance improves daily trading workflows 996
-
Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
-
Why more users are adopting Strategy Optimization 114
- 最近发表
-
- Galaxy Digital's testnet suffers hack but no client funds or information were compromised
- Common mistakes to avoid with Bot Performance 476
- What traders should know about Order Management 437
- Common mistakes to avoid with Futures Trading 270
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- Why Risk Management matters in volatile markets 964
- What traders should know about Order Management 197
- Key benefits of Trade Automation for modern traders 95
- Uniswap Foundation held $85.8M at year-end, committed $26M in grants during 2025
- Common mistakes to avoid with Mobile Trading App 739
- 随机阅读
-
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- Advanced insights into Algorithmic Trading 132
- What traders should know about Strategy Optimization 494
- Why Mobile Trading App matters in volatile markets 839
- Galaxy Digital's testnet suffers hack but no client funds or information were compromised
- How Futures Trading supports long term strategy development 250
- Beginner guide to Spot Trading 691
- Advanced insights into Quantitative Trading
- OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- Beginner guide to Spot Trading 611
- What makes a strong solution for Multi Exchange Trading 946
- Why more users are adopting Strategy Backtesting 182
- Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- Why Signal Execution matters in volatile markets 267
- Why Bot Performance matters in volatile markets 416
- What traders should know about Order Management
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- Common mistakes to avoid with Signal Execution 967
- Why more users are adopting Portfolio Automation 765
- Key benefits of Trade Automation for modern traders 735
- 搜索
-
- 友情链接
-
- North Koreans hackers likely behind $286 million Drift Protocol exploit: Elliptic
- Naoris Protocol's quantum-resistant blockchain goes live as Bitcoin and Ethereum face 'Q-Day' threats
- Crypto Long & Short: Governance is the real Layer 1
- The 'time pain' trap: why bitcoin’s bear market might need a few more months of ‘boring’ to hit a true floor