TradingAgents/tradingagents
Youssef Aitousarrah 136fa47645 fix(options_flow): scan full universe before applying limit, rank by signal strength
Previously the scanner stopped as soon as self.limit candidates were found
from as_completed() futures. Since futures complete in non-deterministic
network-latency order, this was equivalent to random sampling — fast-to-
respond tickers won regardless of how strong their options signal was.

Fix: collect all candidates from the full universe, then sort by options_score
(unusual strike count weighted 1.5x for calls to favor bullish flow) before
applying the limit. The top-N strongest signals are now always returned.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 13:46:21 -07:00
..
agents Update 2026-02-20 08:38:15 -08:00
dataflows fix(options_flow): scan full universe before applying limit, rank by signal strength 2026-04-06 13:46:21 -07:00
graph fix(discovery): fix three scanner hang/validation bugs found in ranker_debug.log 2026-02-20 22:35:42 -08:00
ml chore: linter formatting + ML scanner logging, prompt control, ranker reasoning 2026-02-09 23:04:38 -08:00
schemas feat: discovery pipeline enhancements with ML signal scanner 2026-02-09 22:53:42 -08:00
tools chore: linter formatting + ML scanner logging, prompt control, ranker reasoning 2026-02-09 23:04:38 -08:00
ui fix(ui): fix signal cards rendering as raw HTML in Streamlit 2026-02-20 11:33:15 -08:00
utils feat: discovery pipeline enhancements with ML signal scanner 2026-02-09 22:53:42 -08:00
__init__.py feat: discovery system code quality improvements and concurrent execution 2026-02-05 23:27:01 -08:00
config.py feat: discovery pipeline enhancements with ML signal scanner 2026-02-09 22:53:42 -08:00
default_config.py feat: add daily discovery workflow, recommendation history, and scanner improvements 2026-02-11 22:07:02 -08:00