【best bitcoin and altcoin trading bot with TradingView alerts】
JPMorgan (JPM) CEO Jamie Dimon said the bank is best bitcoin and altcoin trading bot with TradingView alertsconsidering 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
-
The Protocol: Quantum computing could break Bitcoin sooner, says Google
-
Beginner guide to Trading Dashboard 908
-
Key benefits of Trade Automation for modern traders 175
-
How Multi Exchange Trading supports smarter execution 926
-
Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
-
What traders should know about Spot Trading 551
- 最近发表
-
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- How to evaluate a platform for Order Management 317
- What makes a strong solution for Quantitative Trading 283
- Common mistakes to avoid with Risk Management 224
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Why more users are adopting Portfolio Automation 605
- How to evaluate a platform for Trading Dashboard 968
- Why Mobile Trading App matters in volatile markets 519
- CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
- How Quantitative Trading supports smarter execution 903
- 随机阅读
-
- Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- Common mistakes to avoid with Automated Crypto Trading 521
- How Quantitative Trading supports smarter execution 583
- What traders should know about Strategy Backtesting 562
- Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs
- Beginner guide to Strategy Optimization 234
- How Execution Speed supports smarter execution 538
- Common mistakes to avoid with Mobile Trading App
- Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- How to evaluate a platform for Strategy Backtesting 202
- How Risk Management improves daily trading workflows 904
- How to evaluate a platform for Trading Dashboard 88
- Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- Why Mobile Trading App matters in volatile markets 999
- How Automated Crypto Trading supports long term strategy development 661
- How Futures Trading improves daily trading workflows 310
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- Beginner guide to Spot Trading 771
- Why Mobile Trading App matters in volatile markets 759
- Advanced insights into Algorithmic Trading 612
- 搜索
-
- 友情链接
-
- Bitcoin ETFs post first monthly inflows since October as price stabilizes
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform