vibe-trading - Finance research, backtesting, and trading analysis
Provides finance research tools for market data, backtesting, factor analysis, options, trade journals, shadow strategies, and multi-agent research.
Tags
Updated: 2026-10-04Capabilities
Typical Inputs
Typical Outputs
What this skill does
- List finance skills
- Load methodology documents
- Run quantitative backtests
- Analyze factors and options
- Fetch market and financial data
- Search web and read documents
- Analyze trade journals
- Extract shadow strategies
- Run shadow backtests
- Generate shadow reports
- Run research swarms
Inputs
- Strategy configurations and code
- Market symbols and date ranges
- Trade journal CSV files
- URLs and research documents
- Research goals and evidence
Outputs
- Backtest metrics and analysis
- Market and financial data
- Research goal status
- Trade behavior diagnostics
- Shadow strategy rules and signals
- HTML or PDF shadow reports
- Written configuration and code files
- Research swarm results
Requirements
- Python >=3.11
- vibe-trading-ai package
- OPENAI_API_KEY for run_swarm
- LANGCHAIN_MODEL_NAME for run_swarm
- Local TWS or IB Gateway for IBKR tools
- FRED_API_KEY for macro series
- IWENCAI_KEY for iwencai search