Detailed Introduction
Moon Dev AI Agents is an open-source Python collection focused on algorithmic trading and research. It includes agents for backtesting, research, market analysis and live trading. Maintained by Moon Dev, the project emphasizes reproducible backtests, parallel experimentation and an extensible agent architecture suitable for researchers and engineers.
Main Features
- Rich agent library: RBI backtesting agents, parallel backtesting, swarm consensus live trading agents, and various market analysis agents.
- Scalable configuration and parallelism, supporting multi-threaded and distributed backtesting and ensemble decision-making.
- Includes examples, a dashboard and benchmark scripts to help reproduce results and evaluate performance.
Use Cases
- Automated strategy research and large-scale backtest validation.
- Experimentation for inference optimization and runtime comparisons in research or engineering settings.
- Building prototypes for multi-model consensus live trading and monitoring in local/private environments.
Technical Characteristics
- Modular Python implementation for readability and easy extension, enabling rapid iterations.
- Supports swarm mode (parallel multi-model voting), dashboard visualization and exportable backtest statistics.
- Emphasizes disclaimers and risk controls; intended for research and educational use, not financial advice.