trading
by agency.lona
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
MCP
trading
Added 1 June 2026
Overview
Trading is a developer tool from agency.lona for building and testing trading strategies. It uses AI to assist with backtesting, market data integration, and portfolio analysis. The tool is available as an open-source library on GitHub.
Best for
Best for
Developers building algorithmic trading systems who want an AI-augmented backtesting and analysis framework.
Use cases
- Backtest trading strategies against historical data
- Integrate real-time or historical market data into strategy development
- Analyze portfolio performance and risk metrics
Notes
Trading is a developer tool from agency.lona for building and testing trading strategies. It uses AI to assist with backtesting, market data integration, and portfolio analysis. The tool is available as an open-source library on GitHub.
Use cases
- Backtest trading strategies against historical data
- Integrate real-time or historical market data into strategy development
- Analyze portfolio performance and risk metrics
Pros
- Open-source and freely available on GitHub
- Combines AI assistance with backtesting and analysis in one tool
- Suitable for developers who want to programmatically customize strategies
Cons
- Requires programming knowledge to set up and use
- AI model effectiveness depends on data quality and user tuning
- Market data sources may need separate subscriptions or APIs
Indexed from mcp-official-registry and enriched against its public facts.
Pros
- Open-source and freely available on GitHub
- Combines AI assistance with backtesting and analysis in one tool
- Suitable for developers who want to programmatically customize strategies
Cons
- Requires programming knowledge to set up and use
- AI model effectiveness depends on data quality and user tuning
- Market data sources may need separate subscriptions or APIs
Pairs with
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