- Implemented TradeLearner with post-mortem mistake diagnostics and defensive rule formulation
- Added Mistake Memory Guard to screen prospective signals against past loss patterns and traps
- Dynamic Multi-Armed Bandit strategy multipliers (Scalping, Day, Swing) and adaptive confluence weighting
- Integrated with TradeExecutor, Bot position synchronization, and SignalAggregator
- Real-time Self-Learning HUD in modern glassmorphic web dashboard (/api/learning)
- Added /learning command and interactive callback button to Telegram Command Center
- Added TradeLesson and AdaptiveWeight persistence models in SQLite WAL database
- Updated documentation and README