Joseph O'Brien
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1ba647ae4a
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feat: add quantitative scoring with multi-timeframe analysis and CLI enhancements
Add quantitative scoring pipeline for discovery with technical indicator analysis:
- Momentum, volume, relative strength, and risk/reward scoring
- Support/resistance level detection
- Gap analysis for price momentum signals
- Configurable caching to reduce API calls
Implement multi-timeframe signal analysis:
- Short-term (5/20 day), medium-term (20/50 day), and long-term (50/200 day) signals
- Timeframe alignment detection (aligned_bullish, aligned_bearish, mixed, neutral)
- Signal strength calculation based on indicator agreement
Enhance CLI discovery display:
- Color-coded conviction scores (green/yellow/red thresholds)
- Signal column showing timeframe alignment status
- News mentions count column
Update tests to support new quantitative filtering configuration.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-03 17:04:18 -05:00 |
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Joseph O'Brien
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c39f9aab36
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Add pre-commit hooks and ruff code quality configuration
- Add .pre-commit-config.yaml with trailing whitespace, ruff linter/formatter
- Configure ruff in pyproject.toml with selected rules (E, F, W, I, UP, B, C4, SIM)
- Add F401 to unfixable to preserve re-exported imports in __init__.py files
- Fix BacktestMetrics import in backtesting/engine.py
- Update todos.md with enhanced trade discovery and database implementation tasks
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-03 11:22:13 -05:00 |
Edward Sun