Add Phase 5: Orchestration layer (runners + entry points)#4
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Implement the three runner classes that orchestrate the full training, signal generation, and trade execution pipelines: - TrainerRunner: trains all coins across 7 timeframes with checkpoint resume, graceful stop via killer.txt, and progress callbacks - ThinkerRunner: continuous signal generation loop with hot-reload of coin list from gui_settings.json and training freshness gating - TraderRunner: trade execution loop with position sync, entry/DCA/exit management, and hub status file output Wire up entry point scripts (run_trainer.py, run_thinker.py, run_trader.py) with proper dependency injection and CLI arg parsing. Add --paper flag for simulated trading. Add 41 integration tests covering full pipeline flows with mock market/trading clients. All 528 tests pass. https://claude.ai/code/session_01UUJiNrcPxumkbWZux4pVZG
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Implement the three runner classes that orchestrate the full training,
signal generation, and trade execution pipelines:
resume, graceful stop via killer.txt, and progress callbacks
coin list from gui_settings.json and training freshness gating
management, and hub status file output
Wire up entry point scripts (run_trainer.py, run_thinker.py,
run_trader.py) with proper dependency injection and CLI arg parsing.
Add --paper flag for simulated trading.
Add 41 integration tests covering full pipeline flows with mock
market/trading clients. All 528 tests pass.
https://claude.ai/code/session_01UUJiNrcPxumkbWZux4pVZG