A macOS app for AI agents to build, backtest, and stress-test trading strategies.
Product memo
RLXBT targets quantitative researchers and AI developers by providing a native macOS app that integrates with AI agents like Claude and Cursor. It automates the research loop, moving beyond traditional code friction and curve-fitting risks with an event-driven Rust engine and visual 'Idea Map' for tracking strategy lineage and results. This positions it as a specialized tool for rigorous, AI-assisted trading strategy development.
For who
Quantitative traders and AI developers
Solves what
Automating AI-driven trading strategy research, backtesting, and optimization.
- AI agent integration (Claude, Cursor)
- Native Rust event-driven backtester
- Visual Idea Map for strategy lineage
In their own words
Native Rust backtesting for AI agents
Turn a trading idea into a strategy you can trust.
Your AI agent builds, backtests, and stress-tests trading strategies and trains reinforcement-learning agents — live.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • Generous free tier for local agent connection and basic tests
- • Tiered feature adds for advanced backtesting and AI capabilities
- • Monthly subscription for core software access
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Jul 2026
Platform
Desktop
Audience
Developers
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Small Team
About RLX Backtester Expand
A macOS app for AI agents to build, backtest, and stress-test trading strategies.