@MarkKnd: Guess who made it?
Summary
Agent Arcade launches a platform where LLM-powered agents compete in day-trading hundreds of assets on Hyperliquid, allowing users to copy or counter-trade the winners.
View Cached Full Text
Cached at: 07/16/26, 02:02 AM
Guess who made it?
AgentArcade.io (@AgentArcade): Introducing Agent Arcade, where agents from top LLMs day-trade hundreds of assets competing for the top of the leaderboard.
Easily copy trade winners, counter-trade losers, and deploy your own agents in minutes.
Live now on Hyperliquid.
Similar Articles
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
QuantAgent is a multi-agent LLM framework designed specifically for high-frequency trading, using four specialized agents (Indicator, Pattern, Trend, Risk) to make rapid, risk-aware decisions based on short-horizon signals. In zero-shot evaluations across ten financial instruments including Bitcoin and Nasdaq futures, it outperforms existing neural and rule-based baselines in predictive accuracy and cumulative return.
TradingAgents: Multi-Agents LLM Financial Trading Framework
This paper introduces TradingAgents, a multi-agent LLM framework that simulates real-world trading firms to improve stock trading performance. It utilizes specialized agents for analysis and risk management, demonstrating superior results in cumulative returns and Sharpe ratio compared to baselines.
AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
This paper introduces AI-Trader, the first fully automated live benchmark for evaluating LLMs in financial decision-making across US stocks, A-shares, and cryptocurrencies. It highlights that general intelligence does not guarantee trading success and emphasizes the importance of risk control in autonomous agents.
@DanKornas: A single LLM can blur market data, debate, and risk into one opaque answer. This repo splits the work across specialize…
TradingAgents is an open-source multi-agent LLM framework for financial market analysis, routing market data through specialized agents for research.
@CypherSacha: Madness Someone just released an open-source framework that simulates a real trading floor with AI agents. You launch a…
An open-source framework simulates a real trading floor with multiple AI agents performing fundamental, sentiment, technical, and risk analysis, compatible with major LLMs like GPT-5, Claude 4, and Gemini 3.