01Next
Install the Mac app
Download the native Apple Silicon app and drag it into Applications.
Download for Mac ↓Agent workspace
Welcome, Operator
Install RLXBT, connect your AI agent, and tell it what strategy to research. The app handles the backtests, validation, reports, and reinforcement learning.
Current plan
Free Sandbox
02Next
Activate your license
Paste your private license key into RLXBT. The app remembers it securely.
03Next
Connect your AI agent
Add the local RLXBT MCP endpoint to Claude, Cursor, or another MCP client.
Connection guide →Your app license
Activate RLXBT
No active license yet. Choose Free Sandbox or Pro Agent to activate the app.
Talk to your agent
No Python required
Start the desktop app, connect Claude or Cursor over MCP, then ask in plain language.
“Load BTC data, test an RSI strategy, prove it out-of-sample, then train an RL agent.”See agent capabilities →
RLX Backtester for Apple Silicon
Native macOS app · Rust engine included · no Python environment to configure
New · Server Edition
Run RLXBT 24/7 on Ubuntu
Headless Docker service · x86_64 and ARM64 · same license and Rust engine