Live-trade-bench: Live evaluation of trading agents (github.com)

Live Trade Bench has launched a cutting-edge platform designed for the live evaluation of trading agents powered by large language models (LLMs) in real-time market scenarios. Developed with FastAPI, this comprehensive tool allows users to benchmark multiple LLM-based trading agents concurrently across diverse markets, including U.S. equities and prediction markets. Significant features include automated price updates, integration of news feeds for real-time sentiment analysis, and the capability to load historical backtest data to inform trading strategies. This initiative is particularly noteworthy for the AI/ML community as it addresses the critical issue of backtest overfitting—where models may perform well on historical data but fail in live markets. With the capability to run agents like GPT, Claude, and Gemini, Live Trade Bench enables researchers and developers to transition seamlessly from backtesting in isolated environments to live trading, offering real-world applicability and insights. The platform's RESTful API also facilitates external integrations, promoting further exploration and innovation in AI-driven trading solutions.