交易所/ok-jys.git

			@@ -6,6 +6,7 @@
			import com.yami.trading.common.util.Arith;
			import com.yami.trading.huobi.data.AdjustmentValueCache;
			import com.yami.trading.huobi.data.DataCache;
			import com.yami.trading.huobi.data.RandomNumbersGenerator;
			import com.yami.trading.huobi.data.internal.DataDBService;
			import com.yami.trading.huobi.data.model.AdjustmentValue;
			import com.yami.trading.huobi.hobi.HobiDataService;
			@@ -17,6 +18,7 @@

			import java.math.BigDecimal;
			import java.math.RoundingMode;
			import java.util.ArrayList;
			import java.util.List;


			@@ -58,40 +60,77 @@
			AdjustmentValue delayValue = AdjustmentValueCache.getDelayValue().get(symbol);

			if (delayValue != null) {
			// 延时几次
			int frequency = (int) Arith.div(Arith.mul(delayValue.getSecond(), 1000.0D), this.interval);

			if (delayValue.getSecond() < 0) {
			clean(symbol);
			continue;
			}
			Integer frequency = AdjustmentValueCache.getFrequency().get(symbol);
			if (frequency == null) {
			frequency = (int) Arith.div(Arith.mul(delayValue.getSecond(), 1000.0D), this.interval);
			AdjustmentValueCache.getFrequency().put(symbol, frequency);
			}
			if (frequency <= 1) {
			// 单次分配：直接用带符号值，避免符号丢失
			BigDecimal delayVal = delayValue.getValue().setScale(decimal, RoundingMode.HALF_UP);
			if (currentValue == null) {
			AdjustmentValueCache.getCurrentValue().put(symbol, delayValue.getValue());
			AdjustmentValueCache.getCurrentValue().put(symbol, delayVal);
			} else {
			AdjustmentValueCache.getCurrentValue().put(symbol,
			delayValue.getValue().add(currentValue));
			AdjustmentValueCache.getCurrentValue().put(symbol, currentValue.add(delayVal).setScale(decimal, RoundingMode.HALF_UP));
			}

			if (!item.getAdjustmentValue().equals(AdjustmentValueCache.getCurrentValue().get(symbol))) {
			item.setAdjustmentValue(AdjustmentValueCache.getCurrentValue().get(symbol));
			itemService.saveOrUpdate(item);
			}
			AdjustmentValueCache.getDelayValue().remove(symbol);
			clean(symbol);
			} else {
			// 本次调整值
			BigDecimal currentValue_frequency = delayValue.getValue().divide(new BigDecimal(frequency), decimal, RoundingMode.HALF_UP);
			List<BigDecimal> adjustments = AdjustmentValueCache.getPreAllocatedAdjustments().get(symbol);
			Integer currentIndex = AdjustmentValueCache.getCurrentAdjustmentIndex().get(symbol);

			if (currentValue == null) {
			AdjustmentValueCache.getCurrentValue().put(symbol, currentValue_frequency);
			} else {
			AdjustmentValueCache.getCurrentValue().put(symbol,
			currentValue.add(currentValue_frequency));
			// 首次执行：生成含正负值的调整序列
			if (adjustments == null \|\| currentIndex == null) {
			//分几段执行
			int nums = Math.max(10, frequency / 10);
			List<BigDecimal> result = RandomNumbersGenerator.generateNumbers(delayValue.getValue(), nums, decimal + 4);
			for (int i = 0; i < result.size(); i++) {
			if (adjustments == null) {
			adjustments = new ArrayList<>();
			}
			adjustments.addAll(generateRandomAdjustments(result.get(i), frequency / 10, decimal));
			}
			currentIndex = 0;
			AdjustmentValueCache.getPreAllocatedAdjustments().put(symbol, adjustments);
			AdjustmentValueCache.getCurrentAdjustmentIndex().put(symbol, currentIndex);
			}

			delayValue.setValue(delayValue.getValue().subtract(currentValue_frequency));
			delayValue.setSecond(Arith.sub(delayValue.getSecond(), Arith.div(this.interval, 1000.0D)));
			AdjustmentValueCache.getDelayValue().put(symbol, delayValue);
			// 分步应用调整值（确保正负交替）
			if (currentIndex < frequency) {
			BigDecimal currentAdjust = adjustments.get(currentIndex);

			if (!item.getAdjustmentValue().equals(AdjustmentValueCache.getCurrentValue().get(symbol))) {
			item.setAdjustmentValue(AdjustmentValueCache.getCurrentValue().get(symbol));
			itemService.saveOrUpdate(item);
			// 更新当前值（累加正负调整值）
			if (currentValue == null) {
			AdjustmentValueCache.getCurrentValue().put(symbol, currentAdjust.setScale(decimal, RoundingMode.HALF_UP));
			} else {
			AdjustmentValueCache.getCurrentValue().put(symbol, currentValue.add(currentAdjust).setScale(decimal, RoundingMode.HALF_UP));
			}

			// 更新延时值（剩余值和时间）
			delayValue.setValue(delayValue.getValue().subtract(currentAdjust).setScale(decimal, RoundingMode.HALF_UP));
			delayValue.setSecond(Arith.sub(delayValue.getSecond(), Arith.div(this.interval, 1000.0D)));
			AdjustmentValueCache.getDelayValue().put(symbol, delayValue);

			// 索引递增，完成后清理缓存
			int nextIndex = currentIndex + 1;
			AdjustmentValueCache.getCurrentAdjustmentIndex().put(symbol, nextIndex);
			if (nextIndex >= frequency) {
			clean(symbol);
			}

			// 持久化更新
			BigDecimal newAdjustValue = AdjustmentValueCache.getCurrentValue().get(symbol);
			if (!item.getAdjustmentValue().equals(newAdjustValue)) {
			item.setAdjustmentValue(newAdjustValue);
			itemService.saveOrUpdate(item);
			}
			}
			}
			}
			@@ -145,13 +184,164 @@
			realtime.setTs(Long.valueOf(realtime.getTs() + "000"));
			}
			realtime.setName(item.getName());
			if (high == null \|\| realtime.getHigh().doubleValue() > high) {
			/*if (high == null \|\| realtime.getHigh().doubleValue() > high) {
			DataCache.getRealtimeHigh().put(symbol, realtime.getHigh().doubleValue());
			}
			if ((low == null \|\| realtime.getLow().doubleValue() < low) && realtime.getLow().doubleValue() > 0) {
			DataCache.getRealtimeLow().put(symbol, realtime.getLow().doubleValue());
			}*/
			if (high != null) {
			realtime.setHigh(BigDecimal.valueOf(high));
			}
			if (low != null) {
			realtime.setLow(BigDecimal.valueOf(low));
			}
			this.dataDBService.saveAsyn(realtime);
			}

			private void clean(String symbol){
			AdjustmentValueCache.getDelayValue().remove(symbol);
			AdjustmentValueCache.getPreAllocatedAdjustments().remove(symbol);
			AdjustmentValueCache.getCurrentAdjustmentIndex().remove(symbol);
			AdjustmentValueCache.getFrequency().remove(symbol);
			}

			private List<BigDecimal> generateRandomAdjustments(BigDecimal totalValue, int count, int decimal) {
			List<BigDecimal> adjustments = new ArrayList<>(count);
			BigDecimal sum = BigDecimal.ZERO; // 整体累积和
			boolean isOverallUp = totalValue.signum() > 0; // 整体大趋势

			// 1. 大幅扩大基础波动幅度（比之前再提高30%+，确保单次波动更剧烈）
			BigDecimal baseFluct = totalValue.abs().multiply(new BigDecimal(isOverallUp ? 0.25 : 0.22)) // 上涨时25%，下跌时22%
			.max(new BigDecimal("0.001")); // 最小波动阈值提高到0.001，避免微小波动

			// 2. 极大放宽累积范围（允许更大中途偏离，给子周期正负波动留空间）
			BigDecimal minPreSum = totalValue.multiply(new BigDecimal("0.5")); // 整体最低允许50%
			BigDecimal maxPreSum = totalValue.multiply(new BigDecimal("1.5")); // 整体最高允许150%

			// 3. 几乎取消“不动”状态（概率1%，突出剧烈波动）
			double flatProbability = 0.01;

			// 4. 子周期配置：每20次为一个子周期，每个子周期随机生成正负趋势
			int subCycleLength = 20; // 子周期长度
			Boolean currentSubCycleUp = null; // 当前子周期的趋势（null表示未初始化）
			BigDecimal subSum = BigDecimal.ZERO; // 当前子周期的累积和

			for (int i = 0; i < count - 1; i++) {
			// 每进入新的子周期（i为0或20的倍数），随机初始化子周期趋势（50%正，50%负）
			if (i % subCycleLength == 0) {
			currentSubCycleUp = Math.random() < 0.5; // 子周期趋势随机正负
			subSum = BigDecimal.ZERO; // 重置子周期累积和
			}

			// 计算当前允许的累积总和范围（动态适配剩余步数）
			BigDecimal remainingCount = new BigDecimal(count - 1 - i);
			BigDecimal minCurrentSum = sum.add(minPreSum.subtract(sum).divide(remainingCount, decimal + 4, RoundingMode.HALF_UP));
			BigDecimal maxCurrentSum = sum.add(maxPreSum.subtract(sum).divide(remainingCount, decimal + 4, RoundingMode.HALF_UP));

			// 极低概率“不动”
			boolean isFlat = Math.random() < flatProbability;
			if (isFlat) {
			BigDecimal adjustment = BigDecimal.ZERO.setScale(decimal, RoundingMode.HALF_UP);
			adjustments.add(adjustment);
			sum = sum.add(adjustment);
			subSum = subSum.add(adjustment); // 累加子周期和
			continue;
			}

			// 5. 动态调整涨跌概率：优先满足“子周期正负交替”，再适配整体趋势
			double upProbability;
			// 子周期内：若子周期趋势为正，80%概率涨；为负，80%概率跌（确保子周期总和有明确正负）
			if (currentSubCycleUp) {
			upProbability = 0.8;
			} else {
			upProbability = 0.2;
			}
			// 二次修正：若子周期累积和已偏离目标（如子周期应为正但当前为负），进一步提高对应概率
			if (currentSubCycleUp && subSum.compareTo(BigDecimal.ZERO) < 0) {
			upProbability = Math.min(0.98, upProbability + 0.2); // 子周期需正但当前负，大幅提高涨概率
			} else if (!currentSubCycleUp && subSum.compareTo(BigDecimal.ZERO) > 0) {
			upProbability = Math.max(0.02, upProbability - 0.2); // 子周期需负但当前正，大幅提高跌概率
			}
			// 三次修正：确保整体累积和不偏离太远（弱于子周期优先级）
			if (sum.compareTo(minPreSum) < 0) {
			upProbability = Math.min(0.98, upProbability + 0.1);
			} else if (sum.compareTo(maxPreSum) > 0) {
			upProbability = Math.max(0.02, upProbability - 0.1);
			}
			boolean isCurrentUp = Math.random() < upProbability;

			// 6. 生成超大随机幅度（0.6~1.2倍baseFluct，跳过中小幅度，直接用大波动）
			double randomRate = 0.6 + Math.random() * 0.6; // 范围：0.6~1.2（确保单次波动至少是baseFluct的60%）
			BigDecimal fluct = baseFluct.multiply(new BigDecimal(randomRate))
			.setScale(decimal + 4, RoundingMode.HALF_UP);

			// 7. 生成当前调整值（允许接近上限的剧烈波动）
			BigDecimal adjustment;
			if (isCurrentUp) {
			adjustment = fluct.setScale(decimal, RoundingMode.HALF_UP);
			// 超上限时仅截断到上限（不额外缩小，保留大涨幅）
			if (sum.add(adjustment).compareTo(maxCurrentSum) > 0) {
			adjustment = maxCurrentSum.subtract(sum).setScale(decimal, RoundingMode.HALF_UP);
			}
			} else {
			adjustment = fluct.negate().setScale(decimal, RoundingMode.HALF_UP);
			// 低于下限时仅截断到下限（保留大跌幅）
			if (sum.add(adjustment).compareTo(minCurrentSum) < 0) {
			adjustment = minCurrentSum.subtract(sum).setScale(decimal, RoundingMode.HALF_UP);
			}
			}

			adjustments.add(adjustment);
			sum = sum.add(adjustment);
			subSum = subSum.add(adjustment); // 累加子周期和
			}

			// 8. 最后一个值：允许极大补平幅度（不超过baseFluct的8倍，适配剧烈波动后的差额）
			BigDecimal lastAdjustment = totalValue.subtract(sum)
			.setScale(decimal, RoundingMode.HALF_UP);
			BigDecimal maxLastAdjust = baseFluct.multiply(new BigDecimal(8)); // 从5倍提高到8倍
			if (lastAdjustment.abs().compareTo(maxLastAdjust) > 0) {
			lastAdjustment = maxLastAdjust.multiply(lastAdjustment.signum() == 1 ? BigDecimal.ONE : BigDecimal.ONE.negate());
			// 微调前一个值分担差额（确保总和准确）
			BigDecimal prevAdjust = adjustments.get(adjustments.size() - 1);
			adjustments.set(adjustments.size() - 1, prevAdjust.add(totalValue.subtract(sum).subtract(lastAdjustment)));
			}
			adjustments.add(lastAdjustment);

			return adjustments;
			}

			public static void main(String[] args) {
			AbstractGetDataJob abstractGetDataJob = new CryptosGetDataJob();
			List<BigDecimal> list = new ArrayList<>();
			int frequency = 200;
			int decimal = 6;
			//分几段执行
			int nums = Math.max(10, frequency / 10);
			List<BigDecimal> result = RandomNumbersGenerator.generateNumbers(BigDecimal.valueOf(0.02), nums, decimal + 4);
			for (int i = 0; i < result.size(); i++) {
			list.addAll(abstractGetDataJob.generateRandomAdjustments(result.get(i), frequency / 10, decimal));
			}

			BigDecimal sum = BigDecimal.ZERO;
			int num = 0;
			int dmt = 1;
			BigDecimal numd = BigDecimal.ZERO;
			for (int i = 0; i < list.size(); i++) {
			sum = sum.add(list.get(i));
			System.out.println((i+1) + "~ " + list.get(i));
			System.out.println(sum);

			numd = numd.add(list.get(i));
			num++;
			if (num == 20) {
			System.out.println(dmt+"ddd" + numd);
			dmt++;
			num=0;
			numd=BigDecimal.ZERO;
			}
			}
			}

			}