swj.premkumar 05ce55125f ### Added ... - **Dynamic Parameter Tuning (The Learning Loop)**: Implemented full self-reflection cycle. The Reflector agent now parses its own advice into JSON (`rsi_period`, `stop_loss_pct`), persists it to `data_cache/runtime_config.json`, and the Market Analyst loads it to tune the Regime Detector in real-time. - **Audit Archival**: Every tuning event is now archived to `results/{TICKER}/{DATE}/runtime_config.json` for historical auditing, ensuring we can reproduce why parameters changed on any given day. - **Atomic Persistence**: Implemented `agent_utils.write_json_atomic` to prevent race conditions during config saves. - **Centralized Config**: Moved hardcoded paths to `default_config.py` (DRY principle). ### Fixed - **Reflector Logic Gap**: The Reflector was previously "shouting into the void"—making suggestions but having no mechanism to apply them. This circuit is now closed.		2026-01-13 06:40:07 -06:00
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regime_aware_signals.py	The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant.	2026-01-09 19:28:49 -06:00
regime_detector.py	### Added	2026-01-13 06:40:07 -06:00