Liquid launches ChatGPT and Claude trading app with live market execution
COINTELEGRAPH ·
Liquid, a multi-asset trading platform, has launched a trading app that lets users execute trades directly inside OpenAI ChatGPT and Anthropic Claude across crypto, equities, foreign exchange markets and prediction markets. According to the company, the Co-Invest app's users can fund accounts, analyze positions and place trades without leaving the chat interface. Liquid said the platform routes orders through venues including Hyperliquid, Lighter and Ostium. Liquid said Co-Invest supports trading across more than 500 markets, including pre-IPO secondaries and positions on Polymarket. The company said that its platform has processed more than $3 billion in trading volume since launching in August 2025 and currently serves roughly 40,000 users. In a blog post accompanying the launch, Liquid founder Franklyn Wang said the company considers AI as a tool for reducing informational asymmetries in financial markets, arguing that conversational AI could reshape how retail investors allocate capital. "Co-Invest is not just another financial product," Wang wrote. "It marks a shift from human-limited capital allocation to intelligence-augmented capital allocation." Related: AI agents must be treated as untrusted systems: Researchers Crypto and payments companies are increasingly building out infrastructure that allows AI systems to autonomously hold funds, make payments and interact with crypto services. In March, Visa launched a tool for programmatic AI payments, while Stripe-backed Tempo introduced a payments protocol focused on machine-driven transactions. That same month, MoonPay released an open-source wallet standard that allows AI agents hold funds and execute transactions across blockchains, including tools for wallet storage, transaction signing and spending controls. Earlier this month, Amazon Web Services integrated Coinbase’s x402 payments protocol into its Bedrock AgentCore platform, allowing AI agents to make USDC micropayments and access services through crypto payment rails. That protocol also added batch settlement in May , a feature intended to reduce the cost of high-frequency AI agent payments by allowing small transactions to settle later in bulk. According to Base creator Jesse Pollak, the update enables micropayments of less than $0.0001 for services such as compute and AI inference. The rise of AI infrastructure across crypto has also begun reshaping hiring and operations across the industry. Companies including Kraken , Coinbase, Gemini, Crypto.com, Block and Dune have all announced layoffs or restructuring efforts this year tied in part to increased use of AI and automation. Magazine: ETH bears growling, Tom Lee’s buying, XRP to ‘explode’: Market Moves
AI 시장 분석
Trading platform Liquid has launched an AI-powered trading app integrating ChatGPT and Claude, enabling live market execution. This signifies the direct application of AI technology in financial markets, allowing for automated investment analysis and execution.
상승 영향
- AI — The direct application of AI models in a core financial market area validates AI technology's practicality and value, increasing demand for AI development and related services.
- Fintech — Integrating AI into financial services provides innovative solutions, accelerating the growth and technological advancement of the fintech industry and attracting investment for related companies.
- Cloud Computing — Cloud services provide the vast computational resources and storage needed for AI model operation and real-time market data processing, thus increasing demand for cloud infrastructure.
- Semiconductors (AI Chips) — The demand for high-performance AI chips (e.g., GPUs) supporting complex AI model computations will further increase with AI adoption in finance, benefiting related semiconductor companies.
- Software/SaaS — Demand for specialized software and Software-as-a-Service (SaaS) solutions required for AI model integration and trading app development will grow, driving the expansion of related companies.
하락 영향
- Traditional Financial Advisory/Brokerage — The advancement of AI-driven automated trading and analysis systems may replace some roles of human financial professionals, potentially weakening the competitiveness of traditional manual advisory and brokerage services.
- Manual Trading Platforms — Existing manual trading platforms lacking advanced AI features may lose their competitive edge and experience user attrition, facing difficulties in maintaining market share.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 52% · Bearish (Short) 48%
503 participants
Related News
- Bitcoin Approaches $82,000 Following Approval of Tokenized Equities
- Cathie Wood Says Bitcoin is Not a Dead Cat Bounce and Will Serve as a Deflation Hedge
- Bitcoin Maintains $80,000 Threshold Amid Renewed ETF Inflows
- Bitcoin Surges Past $81,000 on Short Squeeze, Overcoming Rate and Regulatory Pressures
- CFTC Submits Crypto Rulemaking to White House in Move to Bypass Congress
- US Treasury Targets Crypto Exchange Over Iran Strait of Hormuz Bitcoin Tolls
