Feature/custom strategy (#1173)

* feat: add Strategy Studio with multi-timeframe support
- Add Strategy Studio page with three-column layout for strategy management
- Support multi-timeframe K-line data selection (5m, 15m, 1h, 4h, etc.)
- Add GetWithTimeframes() function in market package for fetching multiple timeframes
- Add TimeframeSeriesData struct for storing per-timeframe technical indicators
- Update formatMarketData() to display all selected timeframes in AI prompt
- Add strategy API endpoints for CRUD operations and test run
- Integrate real AI test runs with configured AI models
- Support custom AI500 and OI Top API URLs from strategy config
* docs: add Strategy Studio screenshot to README files
* feat: add quant data integration and fix position click navigation
- Integrate quant data API (netflow, OI, price changes) into Strategy Studio
- Add enable_quant_data toggle in indicator editor
- Fix position symbol click to navigate to chart (sync defaultSymbol prop)
- Fix TradingView chart fullscreen flickering

trader/auto_trader.go

@@ -683,6 +683,27 @@ func (at *AutoTrader) buildTradingContext() (*decision.Context, error) {
 		}
 	}
 
+	// 8. 获取量化数据（如果策略配置启用）
+	if strategyConfig.Indicators.EnableQuantData && strategyConfig.Indicators.QuantDataAPIURL != "" {
+		// 收集需要查询的币种（候选币种 + 持仓币种）
+		symbolsToQuery := make(map[string]bool)
+		for _, coin := range candidateCoins {
+			symbolsToQuery[coin.Symbol] = true
+		}
+		for _, pos := range positionInfos {
+			symbolsToQuery[pos.Symbol] = true
+		}
+
+		symbols := make([]string, 0, len(symbolsToQuery))
+		for sym := range symbolsToQuery {
+			symbols = append(symbols, sym)
+		}
+
+		logger.Infof("📊 [%s] 正在获取 %d 个币种的量化数据...", at.name, len(symbols))
+		ctx.QuantDataMap = at.strategyEngine.FetchQuantDataBatch(symbols)
+		logger.Infof("📊 [%s] 成功获取 %d 个币种的量化数据", at.name, len(ctx.QuantDataMap))
+	}
+
 	return ctx, nil
 }