Joseph O'Brien 0c04bdb0ee perf: replace iterrows() with vectorized operations in y_finance.py ... Replace slow iterrows() loop with vectorized pandas operations using apply() and dict(zip()) for better performance when building indicator result dictionaries. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>		2025-12-03 03:15:23 -05:00
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agents	feat: add backtesting framework and fix code quality issues	2025-12-03 02:55:28 -05:00
backtesting	feat: add backtesting framework and fix code quality issues	2025-12-03 02:55:28 -05:00
dataflows	perf: replace iterrows() with vectorized operations in y_finance.py	2025-12-03 03:15:23 -05:00
graph	feat: add centralized input validation for ticker symbols and dates	2025-12-03 03:09:05 -05:00
models	feat: add backtesting framework and fix code quality issues	2025-12-03 02:55:28 -05:00
default_config.py	feat: add backtesting framework and fix code quality issues	2025-12-03 02:55:28 -05:00
logging.py	feat: add centralized logging module with dual output support	2025-12-03 02:11:29 -05:00
validation.py	feat: add centralized input validation for ticker symbols and dates	2025-12-03 03:09:05 -05:00