Run RLXBT on your Mac or an Ubuntu server, connect your AI agent, and let it research, backtest, stress-test and evaluate live signals.
Download the app, enter your license, connect your agent โ in minutes.
Every tool your agent gets over MCP โ data, backtesting, walk-forward & Monte-Carlo, optimization, curated reports, and reinforcement learning. This is everything the backtester can do.
Deploy RLXBT as a hardened Docker service for continuous agent research, backtesting and live-signal evaluation.