agentson 96e2ad4f1f fix: use smart rule-based fallback playbook when Gemini fails (issue #145) ...

When gemini-2.5-flash quota is exhausted (20 RPD free tier), generate_playbook()
fell back to _defensive_playbook() which only had price_change_pct_below: -3.0 SELL
conditions — no BUY conditions — causing zero trades on US market despite scanner
finding strong momentum/oversold candidates.

Changes:
- Add _smart_fallback_playbook() that uses scanner signals to build BUY conditions:
  - momentum signal: BUY when volume_ratio_above=VOL_MULTIPLIER
  - oversold signal: BUY when rsi_below=RSI_OVERSOLD_THRESHOLD
  - always: SELL stop-loss at price_change_pct_below=-3.0
- Use _smart_fallback_playbook() instead of _defensive_playbook() on Gemini failure
- Add 10 new tests for _smart_fallback_playbook() covering momentum/oversold/empty cases
- Update existing test_gemini_failure_returns_defensive to match new behavior

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-02-18 22:23:57 +09:00

..

__init__.py

feat: add strategy/playbook Pydantic models (issue #79)

2026-02-08 02:06:16 +09:00

models.py

feat: add strategy/playbook Pydantic models (issue #79)

2026-02-08 02:06:16 +09:00

playbook_store.py

feat: add playbook persistence with DB schema and CRUD store (issue #82)

2026-02-08 21:00:04 +09:00

pre_market_planner.py

fix: use smart rule-based fallback playbook when Gemini fails (issue #145)

2026-02-18 22:23:57 +09:00

scenario_engine.py

fix: deduplicate missing-key warnings and normalize match_details

2026-02-08 20:41:20 +09:00