feat: add trading stats to AI context and one-click deployment data clearing

- Add historical trading statistics to AI decision context with language detection
- Remove win rate from metrics, focus on profit factor, sharpe ratio, win/loss ratio
- Add option to clear trading data tables during one-click deployment
- Add sqlite to Docker runtime for container-based data clearing

trader/auto_trader.go

@@ -866,6 +866,28 @@ func (at *AutoTrader) buildTradingContext() (*decision.Context, error) {
 				})
 			}
 		}
+		// Get trading statistics for AI context
+		stats, err := at.store.Position().GetFullStats(at.id)
+		if err != nil {
+			logger.Infof("⚠️ [%s] Failed to get trading stats: %v", at.name, err)
+		} else if stats == nil {
+			logger.Infof("⚠️ [%s] GetFullStats returned nil", at.name)
+		} else if stats.TotalTrades == 0 {
+			logger.Infof("⚠️ [%s] GetFullStats returned 0 trades (traderID=%s)", at.name, at.id)
+		} else {
+			ctx.TradingStats = &decision.TradingStats{
+				TotalTrades:    stats.TotalTrades,
+				WinRate:        stats.WinRate,
+				ProfitFactor:   stats.ProfitFactor,
+				SharpeRatio:    stats.SharpeRatio,
+				TotalPnL:       stats.TotalPnL,
+				AvgWin:         stats.AvgWin,
+				AvgLoss:        stats.AvgLoss,
+				MaxDrawdownPct: stats.MaxDrawdownPct,
+			}
+			logger.Infof("📈 [%s] Trading stats: %d trades, %.1f%% win rate, PF=%.2f, Sharpe=%.2f, DD=%.1f%%",
+				at.name, stats.TotalTrades, stats.WinRate, stats.ProfitFactor, stats.SharpeRatio, stats.MaxDrawdownPct)
+		}
 	} else {
 		logger.Infof("⚠️ [%s] Store is nil, cannot get recent trades", at.name)
 	}