【beginner friendly crypto strategy backtesting platform with TradingView alerts】
发布时间：2026-04-04 06:29:44 来源：Smart Insight Analytics 作者：Quant Trading
-
JPMorgan (JPM) CEO Jamie Dimon said the bank is beginner friendly crypto strategy backtesting platform 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.
- 上一篇：Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- 下一篇：Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- What traders should know about Trading Dashboard 688
- Why more users are adopting Webhook Trading 960
- Why Bot Performance matters in volatile markets
- Why Futures Trading matters in volatile markets
相关文章
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- Beginner guide to Order Management 817
- What makes a strong solution for Multi Exchange Trading 706
- Beginner guide to Order Management 177
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- Why Bot Performance matters in volatile markets 816
- Beginner guide to Trading Dashboard 588
- Advanced insights into Paper Trading 109
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- Advanced insights into Algorithmic Trading 852
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- How Futures Trading improves daily trading workflows 310
- Common mistakes to avoid with Futures Trading 430
- How Bot Performance supports long term strategy development 536
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Beginner guide to Order Management 577
- How Market Analysis supports long term strategy development 273
- Why Automated Crypto Trading matters in volatile markets 701
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- How Execution Speed supports smarter execution
随便看看
Why more users are adopting Spot Trading 411
Common mistakes to avoid with Automated Crypto Trading 201
How Paper Trading supports smarter execution 869
How Bot Performance improves daily trading workflows 196
- Copyright © 2026 Powered by 【beginner friendly crypto strategy backtesting platform with TradingView alerts】,Smart Insight Analytics sitemap