# Data Layer Fix and Test Plan

## Goal

Verify and test the data layer for the Global Macro Analyzer implementation.

## Prerequisites

- Python environment with dependencies installed
- yfinance and alpha_vantage configured

## Steps

1. Import and test scanner tools individually
2. Run CLI scan command
3. Validate output
4. Document results

## Testing Scanner Tools

- Test get_market_movers
- Test get_market_indices
- Test get_sector_performance
- Test get_industry_performance
- Test get_topic_news

## Running CLI Scan

- Command: python -m tradingagents scan --date 2026-03-14
- Expected output: Rich panels with market movers, indices, sector performance, news, and top-10 watchlist

## Expected Results

- No import errors
- Successful execution without exceptions
- Output files generated under results/
- Top-10 stock watchlist displayed

## Contingency

- If errors occur, check import paths and configuration
- Verify default_config.py scanner_data setting is correct
- Ensure vendor routing works correctly

## Next Steps

- Address any failures
- Refine output formatting
- Add additional test cases