- Add daily price movement display with color coding (green/red)
- Add 1D (intraday) and 7D chart options with granular data:
- 1D: 5-minute interval for detailed intraday view
- 7D: hourly interval for smooth 7-day chart
- Fix discontinuous chart rendering by plotting against sequential index for intraday data
- Eliminate overnight/weekend gaps in hourly charts
- Add timezone normalization for consistent date handling between daily and intraday data
- Improve fallback logic when data is sparse
- Better handling of yfinance column names (Datetime vs Date)
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Add GitHub Actions workflow for daily discovery (8:30 AM ET, weekdays)
- Add headless run_daily_discovery.py script for scheduling
- Expand options_flow scanner to use tickers.txt with parallel execution
- Add recommendation history section to Performance page with filters and charts
- Fix strategy name normalization (momentum/Momentum/Momentum-Hype → momentum)
- Fix strategy metrics to count all recs, not just evaluated ones
- Add error handling to Streamlit page rendering
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add ML signal scanner results table logging
- Add log_prompts_console config flag for prompt visibility control
- Expand ranker investment thesis to 4-6 sentence structured reasoning
- Linter auto-formatting across modified files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Major additions:
- ML win probability scanner: scans ticker universe using trained
LightGBM/TabPFN model, surfaces candidates with P(WIN) above threshold
- 30-feature engineering pipeline (20 base + 10 interaction features)
computed from OHLCV data via stockstats + pandas
- Triple-barrier labeling for training data generation
- Dataset builder and training script with calibration analysis
- Discovery enrichment: confluence scoring, short interest extraction,
earnings estimates, options signal normalization, quant pre-score
- Configurable prompt logging (log_prompts_console flag)
- Enhanced ranker investment thesis (4-6 sentence reasoning)
- Typed DiscoveryConfig dataclass for all discovery settings
- Console price charts for visual ticker analysis
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Created nested "filters" section for all filter-stage settings
(min_average_volume, same-day movers, recent movers, etc.)
- Created nested "enrichment" section for batch news settings
- Updated CandidateFilter to read from new nested structure
- Added backward compatibility fallback for old flat config
- Improved config organization and clarity
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Final fix for scanner registration issue. Previous attempts
to add scanner import at module level were removed by the
pre-commit hook's ruff --fix auto-formatter.
Solution:
- Import scanners inside DiscoveryGraph.__init__() method
- Use the import (assign to _) so it's not "unused"
- Linter won't remove imports that are actually used
This ensures scanners always load when DiscoveryGraph is instantiated.
Verified: 8 scanners now properly registered
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
The scanner import needs # noqa: F401 to prevent linters from
removing it as "unused". The import is required for side effects
(triggering scanner registration).
Without this:
- Pre-commit hook removes the import
- Scanners don't register
- Discovery returns 0 candidates
Fix:
- Added # noqa: F401 comment to scanner import
- Linter will now preserve this import
- Verified 8 scanners properly registered
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Critical bugfix: Scanner modules weren't being imported, causing
SCANNER_REGISTRY to remain empty and discovery to return 0 candidates.
Root Cause:
- Import line "from tradingagents.dataflows.discovery import scanners"
was accidentally removed during concurrent execution refactoring
- Without this import, scanner @register() decorators never execute
- Result: SCANNER_REGISTRY.get_all_scanners() returns empty list
Fix:
- Restored scanner import in discovery_graph.py line 6
- Scanners now properly register on module import
- Verified 8 scanners now registered and working
Impact:
- Before: 0 candidates, 0 recommendations
- After: 60-70 candidates, 15 recommendations (normal operation)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
github-actions[bot]
Youssef Aitousarrah
Aitous