feat(okxNewPrice): 添加MACD和EMA组合交易策略实现

Administrator

6 days ago 7903e78b53a98e4ff0670a41476f2d1c16ac19fb

 src/main/java/com/xcong/excoin/modules/okxNewPrice/OkxKlineWebSocketClient.java

@@ -10,6 +10,7 @@
import com.xcong.excoin.modules.blackchain.service.DateUtil;
import com.xcong.excoin.modules.okxNewPrice.celue.CaoZuoService;
import com.xcong.excoin.modules.okxNewPrice.indicator.TradingStrategy;
import com.xcong.excoin.modules.okxNewPrice.indicator.macdAndMatrategy.MacdEmaStrategy;
import com.xcong.excoin.modules.okxNewPrice.indicator.macdAndMatrategy.MacdMaStrategy;
import com.xcong.excoin.modules.okxNewPrice.okxWs.*;
import com.xcong.excoin.modules.okxNewPrice.okxWs.enums.CoinEnums;
@@ -346,7 +347,8 @@
                    log.info("{}开仓{}:{}",time,closePx,instId);
                    //调用策略
                    // 创建策略实例
                    MacdMaStrategy strategy = new MacdMaStrategy();
//                    MacdMaStrategy strategy = new MacdMaStrategy();
                    MacdEmaStrategy strategy = new MacdEmaStrategy();

                    // 生成200个1m价格数据点
                    List<Kline> kline1MinuteData = getKlineDataByInstIdAndBar(instId, "1m");
@@ -354,16 +356,15 @@
                            .map(Kline::getC)
                            .collect(Collectors.toList());

                    log.info("1m:{}", JSONUtil.parse( historicalPrices1M));

                    // 生成200个1D价格数据点
                    List<Kline> kline1DayData = getKlineDataByInstIdAndBar(instId, "1D");
                    List<BigDecimal> historicalPrices1D = kline1DayData.stream()
                            .map(Kline::getC)
                            .collect(Collectors.toList());
                    log.info("1D:{}", JSONUtil.parse( historicalPrices1D));
//                    List<Kline> kline1DayData = getKlineDataByInstIdAndBar(instId, "1D");
//                    List<BigDecimal> historicalPrices1D = kline1DayData.stream()
//                            .map(Kline::getC)
//                            .collect(Collectors.toList());
//                    log.info("1D:{}", JSONUtil.parse( historicalPrices1D));
                    // 使用策略分析最新价格数据
                    MacdMaStrategy.TradingOrder tradingOrderOpenOpen = strategy.generateTradingOrder(historicalPrices1M,historicalPrices1D,MacdMaStrategy.OperationType.open.name());
//                    MacdMaStrategy.TradingOrder tradingOrderOpenOpen = strategy.generateTradingOrder(historicalPrices1M,historicalPrices1D,MacdMaStrategy.OperationType.open.name());
                    MacdEmaStrategy.TradingOrder tradingOrderOpenOpen = strategy.generateTradingOrder(historicalPrices1M, MacdMaStrategy.OperationType.open.name());
                    if (tradingOrderOpenOpen == null){
                        return;
                    }
@@ -410,14 +411,12 @@
                            .map(Kline::getC)
                            .collect(Collectors.toList());

                    log.info("1m:{}", JSONUtil.parse( historicalPrices1M));

                    // 生成200个1D价格数据点
                    List<Kline> kline1DayData = getKlineDataByInstIdAndBar(instId, "1D");
                    List<BigDecimal> historicalPrices1D = kline1DayData.stream()
                            .map(Kline::getC)
                            .collect(Collectors.toList());
                    log.info("1D:{}", JSONUtil.parse( historicalPrices1D));
                    // 使用策略分析最新价格数据
                    MacdMaStrategy.TradingOrder tradingOrderOpenClose = strategy.generateTradingOrder(historicalPrices1M,historicalPrices1D,MacdMaStrategy.OperationType.close.name());
                    if (tradingOrderOpenClose == null){