指数化配置系列研究：指数日内非对称性与短周期动量策略

索引索引内容目录一、指数的日内非对称性 4日内非对称性定义 4美股市场的日内非对称性 4A股本土化适配 5二、沪深300指数的日内非对称性及其应用 5A股市场的短期动量特征 5基础策略交易规则 6基础策略业绩表现 6指数的日内效应与交易时间优化 10信号阈值选择与换手率控制 12三、Asym的独特性分析 14相似指标 14有效性对比 14四、短周期动量策略的拓展 15跨指数泛化能力与哑铃组合 15股指期货的迁移应用 18五、总结 19六、风险提示 20七、参考文献 20图表目录图1：Asym大于0情形的K线示意图 4图2：Asym小于0情形的K线示意图 4图3：Asym由小到大排序对应的标普500次日日内收益率累加 5图4：基于Asym的S&P500ETF多头、空头和多空策略vs.基准的收益风险特征 5图5：按Asym从小到大排序后，沪深300下午均价买入至次日下午均价卖出的收益率累加（2011.01.01-2026.06.12）....................................................................................................6图6：不同Asym区间对应沪深300下午均价买入至次日下午均价卖出的平均收益率（2011.01.01-2026.06.12）....................................................................................................6图0日内非对称性多头策略s.（3-226.0.1）.................................................................................................................................................7图s.持续做空沪深0（3-226.0.1）.................................................................................................................................................89vs50%*300的累计净值（2010.12.31-2026.06.12）..9图10：沪深300日内不同时间段VWAP相对开盘价的平均涨跌幅（2010.12.31-2026.06.12）...............................................................................................................................................11图策略换手率及年均交易天数（2011.01.01-2026.06.12） 12图12：不同阈值下，多头信号和空头信号的胜率及盈亏比（2011.01.01-2026.06.12） 12图13：不同阈值下，多空策略的年化收益率和换手率（2011.01.01-2026.06.12） 1314：不同指标由小到大排序后，当日下午均价买入持有至次日下午均价卖出的收益率累加图15：不同指标多头/空头策略收益风险特征（2011.01.01-2026.06.12） 15图16：宽基和行业指数Asym多头策略收益风险特征（2011.01.01-2026.06.12） 16图17：基础化工行业Asym多头策略累计净值（2018.12.28-2026.06.12） 16图18：有色金属行业Asym多头策略累计净值（2018.12.28-2026.06.12） 16图19：机械设备行业Asym多头策略累计净值（2018.12.28-2026.06.12） 17图20：通信行业Asym多头策略累计净值（2018.12.28-2026.06.12） 17图21：“银行+科技”哑铃组合累计净值（2014.06.30-2026.06.12） 17图22：“银行+科技”哑铃组合收益风险特征（2014.07.01-2026.06.12） 18图23：上午Asym由小到大排序对应的当日下午至次日中午的收益率累加（IF，2011.01.01-2026.06.12） 18图24：当日Asym由小到大排序对应的次日开盘至收盘的收益率累加（IF，2011.01.01-2026.06.12）......................................................................................................18图25：上午Asym由小到大排序对应的当日下午至次日中午的收益率累加（IC，2015.04.16-2026.06.12） 19图26：当日Asym由小到大排序对应的次日开盘至收盘的收益率累加（IC，2015.04.16-2026.06.12）......................................................................................................19图27：上午Asym由小到大排序对应的当日下午至次日中午的收益率累加（IM，2022.07.22-2026.06.12） 19图28：当日Asym由小到大排序对应的次日开盘至收盘的收益率累加（IM，2022.07.22-2026.06.12）......................................................................................................19表1：日内非对称性多头策略收益风险特征（2011.01.01-2026.06.12） 7表2：日内非对称性空头策略收益风险特征（2011.01.01-2026.06.12） 8表3：日内非对称性多空策略的收益风险特征（2011.01.01-2026.06.12） 10表4：交易时间优化vs.基础策略的收益风险特征（2011.01.01-2026.06.12） 表5：信号阈值为0.4%的多空策略收益风险特征（2011.01.01-2026.06.12） 13一、指数的日内非对称性20261IntradayPriceAsymmetryandNext-DayIntradayReturns》500A日内非对称性定义日内非对称性（IntradayAsymmetry，Asym）定义为，当日最高价和最低价分别相对开盘价的对数收益率之和，用以捕捉日内价格走势的“非对称性偏离”程度。𝐿𝑡𝐴𝑠𝑦𝑚𝑡=ln(𝑂)+ln(𝑂)𝑡 𝑡其中，𝐻𝑡、𝐿𝑡、𝑂𝑡分别为当日最高价、最低价和开盘价。图1：Asym大于0情形的K线示意图 图2：Asym小于0情形的K线示意图研中心 研中心美股市场的日内非对称性Valentini（2026）500ETF（Asym）3Asym<0500500ETF略为例，如果前一日5004图3：Asym由小到大排序对应的标普500次日日内收益率累加 图基于的S&P500ETF多头空头和多空策略vs.基准的收益风险特征IntradayPriceAsymmetryandNext-DayIntradayReturnsintheS&P500,FrancescoValentini(2026)500ETFAsym（Asym

IntradayPriceAsymmetryandNext-DayIntradayReturnsintheS&P500,FrancescoValentini(2026)股本土化适配A股实行T+1交易，无法当日买卖，因此需对原策略进行本土化适配。具体地，90130的KAsm：𝐿𝑎𝑚,𝑡𝐴𝑠𝑦𝑚𝑡=ln(

)+ln

)𝑂𝑡其中，𝐻𝑎𝑚,𝑡、𝐿𝑎𝑚,𝑡分别为当日连续竞价阶段截止11:30的最高价、最低价；出于稳定性考虑，𝑂𝑡不使用开盘价，改为当日连续竞价阶段的第1个成交价。13:00-15:00，再以二、沪深300指数的日内非对称性及其应用股市场的短期动量特征A56010101026.612AsmU”型。即Asym>(<)0下负。图5：按Asym从小到大排序后，沪深300下午均价买入至次日下午均价卖出的收益率累加（2011.01.01-2026.06.12）-8.34%-1.36%-8.34%-1.36%-0.98%-0.78%-0.63%-0.50%-0.40%-0.29%-0.20%-0.11%-0.02%0.06%0.16%0.25%0.34%0.43%0.53%0.65%0.78%0.94%1.16%1.63%

图6：不同Asym区间对应沪深300下午均价买入至次日下午均价卖出的平均收益率（2011.01.01-2026.06.12）Asym区间Asym区间小于-1%-1%~-0.8%-0.8%~-0.6%-0.6%~-0.4%-0.4%~-0.2%-0.2%~0%0~0.2%0.2%~0.4%0.4%~0.6%0.6%~0.8%0.8%~1%大于1%当天下午VWAP买入第2天下午VWAP卖出的平均收益率%%%%%0.02%0.00.20.00.00.21%4%7%1%8%%0.05-0.07-0.15-0.15-0.27-0.09300AsymAsym基础策略交易规则300AsymAT+1sm（PAsm0WPAsmP（，Asym≥050%Asym>0100%；Asym<00%；Asym=050%下文的回测均以指数为交易标的，并假设交易成本为单边万分之3。基础策略业绩表现多头策略2011.01.01-2026.06.123001所示，10.91%18.14%14.59%，46.70%1652.79%1.19。1买入持有沪深300指数，下同。图7：沪深300日内非对称性多头策略vs.买入持有指数的累计净值（2010.12.31-2026.06.12）6543210买入持有 多头策略米筐、2018202220152020204226061230指数。表1：日内非对称性多头策略收益风险特征（2011.01.01-2026.06.12）多头策略买入持有沪深300策略-买入持有累计收益率397.28%52.72%344.57%年化收益率10.91%2.77%8.14%年化波动率14.59%20.86%-6.27%最大回撤30.17%46.70%-16.53%区间收益风险特征下行标准差Sharpe8.71%0.7513.19%0.13-4.48%0.61Calmar0.360.060.30Sortino1.250.211.04胜率52.79%盈亏比1.192011-15.67%-25.01%9.34%20128.70%7.55%1.15%20136.55%-7.65%14.19%201446.69%51.66%-4.97%201570.30%5.58%64.72%2016-1.09%-11.28%10.19%分年度收益率201717.10%21.78%-4.68%2018-0.20%-25.31%25.11%201913.08%36.07%-22.99%202042.61%27.21%15.40%2021-2.63%-5.20%2.57%2022-10.67%-21.63%10.96%20233.95%-11.38%15.32%202411.16%14.68%-3.52%202514.89%17.66%-2.77%2026-5.31%3.18%-8.49%米筐空头策略3002011.01.01-2026.06.12率78214613473；最23.76%76.75%52.90%。图8：日内非对称性空头策略vs.持续做空沪深300指数的累计净值（2010.12.31-2026.06.12）4.03.53.02.52.01.51.00.50.0持续做空 空头策略米筐（3000）和0257012172019200、2024-202513/16表2：日内非对称性空头策略收益风险特征（2011.01.01-2026.06.12）空头策略持续做空沪深300策略-持续做空累计收益率220.93%-66.64%287.56%年化收益率7.82%-6.84%14.66%年化波动率13.54%20.86%-7.31%最大回撤23.76%76.75%-52.99%区间收益风险特征下行标准差Sharpe7.73%0.5812.56%-0.33-4.83%0.91Calmar0.33-0.090.42Sortino1.01-0.541.56胜率52.90%盈亏比1.11分年度收益率201115.18%27.94%-12.76%20121.40%-10.68%12.08%201314.27%3.36%10.91%2014-2.77%-36.44%33.66%201549.15%-18.50%67.64%201611.33%7.46%3.86%2017-2.71%-18.70%16.00%201833.52%28.06%5.46%2019-16.78%-29.28%12.51%202011.16%-25.23%36.40%20213.17%2.04%1.13%202214.47%22.60%-8.13%202318.00%10.88%7.12%2024-2.28%-16.55%14.27%2025-1.34%-16.90%15.56%2026-7.75%-4.17%-3.57%米筐多空策略2011.01.01-2026.06.1210.98%50%*300Calmar0.750.36。图9：日内非对称性多空策略vs.50%*沪深300的累计净值（2010.12.31-2026.06.12）6543210策略/基准 50%沪深300 多空策略米筐50%*300表3：日内非对称性多空策略的收益风险特征（2011.01.01-2026.06.12）多空策略50%*沪深300策略-50%*沪深300累计收益率402.03%34.51%367.53%年化收益率10.98%1.93%9.04%年化波动率14.59%10.43%4.16%区间收益风险特征最大回撤30.17%8.71%25.75%6.59%4.42%2.12%Sharpe0.750.190.57Calmar0.360.080.29Sortino1.260.290.972011-14.87%-12.95%-1.91%20128.70%4.22%4.48%20136.55%-3.34%9.89%201446.69%23.71%22.98%201570.30%4.74%65.57%2016-1.09%-5.23%4.14%201717.10%10.49%6.61%分年度收益率20182019-0.20%13.08%-13.09%17.21%12.89%-4.13%202042.61%13.50%29.11%2021-2.63%-2.23%-0.40%2022-10.67%-11.03%0.35%20233.95%-5.66%9.60%202411.16%7.67%3.49%202514.89%8.78%6.11%2026-5.31%1.72%-7.03%米筐指数的日内效应与交易时间优化3001014:30-15:0014:30-15:0013:00-14:00。41.64%2.43%。ETF图10：沪深300日内不同时间段VWAP相对开盘价的平均涨跌幅（2010.12.31-2026.06.12）0.09%0.08%0.07%0.06%0.05%0.04%0.03%0.02%0.01%0.00%米筐表4：交易时间优化vs.基础策略的收益风险特征（2011.01.01-2026.06.12）优化多头策略基础优化-基础优化空头策略基础优化-基础优化多空策略基础优化-基础区间收益风险特征年化收益率13.03%10.91%2.12%9.46%7.82%1.64%13.10%10.98%2.12%年化波动率14.01%14.59%-0.58%14.69%13.54%1.15%14.01%14.59%-0.58%最大回撤25.86%30.17%-4.31%21.33%23.76%-2.43%25.86%30.17%-4.31%下行标准差8.14%8.71%-0.57%8.58%7.73%0.85%8.14%8.71%-0.57%Sharpe0.930.750.180.640.580.070.940.750.18Calmar0.500.360.140.440.330.110.510.360.14Sortino1.601.250.351.101.010.091.611.260.35分年度收益率2011-12.78%-15.67%2.89%18.87%15.18%3.69%-11.94%-14.87%2.92%20129.43%8.70%0.73%1.82%1.40%0.42%9.43%8.70%0.73%20135.18%6.55%-1.37%12.62%14.27%-1.65%5.18%6.55%-1.37%201447.95%46.69%1.25%-2.20%-2.77%0.58%47.95%46.69%1.25%201587.41%70.30%17.10%59.38%49.15%10.24%87.41%70.30%17.10%20164.28%-1.09%5.38%17.10%11.33%5.77%4.28%-1.09%5.38%201715.71%17.10%-1.39%-3.92%-2.71%-1.22%15.71%17.10%-1.39%20181.17%-0.20%1.38%35.07%33.52%1.55%1.17%-0.20%1.38%201914.83%13.08%1.75%-15.83%-16.78%0.95%14.83%13.08%1.75%202046.46%42.61%3.85%13.84%11.16%2.67%46.46%42.61%3.85%2021-1.33%-2.63%1.30%4.33%3.17%1.17%-1.33%-2.63%1.30%2022-6.69%-10.67%3.99%19.33%14.47%4.86%-6.69%-10.67%3.99%20235.86%3.95%1.92%20.00%18.00%2.00%5.86%3.95%1.92%202414.02%11.16%2.86%0.00%-2.28%2.28%14.02%11.16%2.86%202511.41%14.89%-3.48%-4.39%-1.34%-3.05%11.41%14.89%-3.48%2026-5.74%-5.31%-0.43%-8.23%-7.75%-0.49%-5.74%-5.31%-0.43%米筐信号阈值选择与换手率控制Asym12060Asym处于[-0.4%,0.4%]图63图11：策略换手率及年均交易天数（2011.01.01-2026.06.12）140120100806040200每年交天数天） 年化单换手（倍）米筐12-130.4%Asym>0.4%满仓、<-0.4%表现较优。2011.01.01-2026.06.12，和基础策略相比，年化收益率由13.10%提升至15.70%1.56由60倍降大幅至37倍，平均持仓周期从2天拉长至3.3天，交易损耗显著降低。图12：不同阈值下，多头信号和空头信号的胜率及盈亏比（2011.01.01-2026.06.12）多头信号空头信号不同调仓阈值多头胜率多头盈亏比预期收益率不同调仓阈值空头胜率空头盈亏比 预期收益率053.2%1.2017.04%051.4%1.097.46%0.1%53.7%1.2319.45%-0.1%52.5%1.1110.46%0.2%53.2%1.2620.05%-0.2%52.8%1.1412.90%0.3%53.1%1.2921.49%-0.3%52.9%1.1614.20%0.4%52.9%1.3021.81%-0.4%53.1%1.1714.92%0.5%51.9%1.3321.02%-0.5%52.5%1.1714.10%0.6%50.7%1.39.0252.0%1.1712.83%0.7%50.3%1.3920.43%-0.7%52.2%1.2115.17%0.8%51.0%1.3921.69%-0.8%51.6%1.1913.06%0.9%50.6%1.5126.90%-0.9%50.8%1.117.03%1%51.0%1.4927.00%-1%48.3%1.185.21%米筐注：预期收益率=胜率*盈亏比-(1-胜率)。图13：不同阈值下，多空策略的年化收益率和换手率（2011.01.01-2026.06.12）15%16%15%16%13%14% 14%14%12%14%9%9%8%6155494237310 0.1% 0.2% 0.3% 0.4% 0.5%260.6%210.7%180.8%150.9%131%不同调仓阈值0

18%16%14%12%10%8%6%4%2%0%年化单边手率/倍 每年交天数 年化收（右）米筐注：策略的交易规则为，基础仓位50%，当Asym≥阈值时，将仓位调整至100%；当Asym<-阈值时，仓位降至0。表5：信号阈值为0.4%的多空策略收益风险特征（2011.01.01-2026.06.12）调仓阈值0.4%调仓阈值0% 沪深300改进基础 改进基准（改进） （基础） （基准）累计收益率857.64%573.42%34.51%284.22%823.13%年化收益率15.70%13.10%1.93%2.60%13.77%年化波动率14.83%14.01%10.43%0.81%4.40%区间收益风险特最大回撤27.42%25.86%25.75%1.56%1.68%征下行标准差8.71%8.14%6.59%0.57%2.11%Sharpe1.060.940.190.120.87Calmar0.570.510.080.070.50Sortino1.801.610.290.191.512011-17.65%-11.94%-12.95%-5.71%-4.70%201232.81%9.43%4.22%23.38%28.58%201311.41%5.18%-3.34%6.23%14.75%201454.61%47.95%23.71%6.66%30.90%201580.59%87.41%4.74%-6.81%75.86%20162.21%4.28%-5.23%-2.07%7.44%20176.16%15.71%10.49%-9.55%-4.33%分年度收益率20182019-0.52%31.27%1.17%14.83%-13.09%17.21%-1.70%16.44%12.57%14.06%202051.05%46.46%13.50%4.59%37.55%2021-8.17%-1.33%-2.23%-6.85%-5.95%2022-1.65%-6.69%-11.03%5.04%9.38%20238.27%5.86%-5.66%2.40%13.92%202426.41%14.02%7.67%12.39%18.74%20258.16%11.41%8.78%-3.25%-0.62%2026-1.61%-5.74%1.72%4.12%-3.34%米筐三、Asym的独特性分析相似指标为了考察Asym的独特性，我们还构建了如下5个相似指标，检验它们是否也具备对短期收益率的预测能力。

=ln(𝐻𝑡)+ln(𝐿𝑡)2）𝐴𝑠𝑦𝑚_𝑐𝑙𝑜𝑠𝑒𝑡3）𝑂𝐶=𝐶𝑡−1𝑂𝑡4）𝐶𝐶=𝐶𝑡−1𝐶𝑡−1

𝑡=

𝐻𝑡(𝐶𝑡

𝐶𝑡−1+ln

𝐿𝑡(

𝐶𝑡−15）𝑂𝑁=𝑂𝑡−1𝐶𝑡−1t-11𝐻𝑡𝐿𝑡t日上有效性对比14AsymOCCCAsym_precloseON0Asym_close图14：不同指标由小到大排序后，当日下午均价买入持有至次日下午均价卖出的收益率累加（2011.01.01-2026.06.12）200%150%100%50%0%-50%-100%-150%-200%asym asym_preclose asym_close OC CC ON米筐注：蓝线为横轴各指标接近0的位置。Asym515Asym。图15：不同指标多头/空头策略收益风险特征（2011.01.01-2026.06.12）策略策略指标年化收益年化波动率最大回撤下行标准差 Sharpe Calmar Sortino21多头策略Asym_closeCC....0.49109%2%3254Asym_preclose空头策略 Asym_closeOCCCON3.731.135.97%2.63%-6.21%15.48%15.06%14.73%.1%3.19%14.99%9.32%9.07%8.74%9.02%9.95%0.240.080.410.17-0.410.120.020.260.09-0.090.400.120.680.29-0.6272.06%15.16% 29.63%245.612%32%%101.440.640.8.58%1.33%214.69%%9.46Asym-0.09-0.33-0.12.56%76.75%20.86%4%-6.8持续做空47.75%-3.17540.1%27%9.105.950.0.0.-0.3065442233%4.04900.0.1.0.-0.2212331507530.0.0.0.-0.7.79%8.27%8.30%7.91%9.99%44%89%80%3113.10%13.66%13.98%13.55%14.12%%7.00601.500.930.8.14%86%2514.01%3%13.0Asym0.060.130.13.19%0%46.720.86%%2.77买入持有米筐Asym_precloseCC00ON0看多AAsymETF四、短周期动量策略的拓展跨指数泛化能力与哑铃组合A16-20Asym1000100等高图16：宽基和行业指数Asym多头策略收益风险特征（2011.01.01-2026.06.12）类型宽基及smartbeta申万一级行业

指数中证1000中证500创业板指中证沪深科创红利低波通信传媒环保综合计算机电子房地产煤炭非美家用电器社会服务汽车钢铁银行

计算开始时间2014/10/18/12014/2/222011/1/12011/1/12014/2/222014/2/222011/1/1

年化收益 年化超额 最大回撤 基准回撤 Calmar 基准calmar28.18% 25.55% 21.14% 72.35% 1.33 0.0419.41% 16.15% 26.19% 65.20% 0.74 0.0520.64% 12.49% 28.54% 69.74% 0.72 0.1224.74% 11.36% 16.16% 36.40% 1.53 0.3712.78% 10.01% 25.86% 46.70% 0.49 0.0627.74% 6.70% 20.52% 40.42% 1.35 0.521.73% -3.59% 20.75% 22.96% 0.08 0.2338.33% 23.85% 23.72% 67.03% 1.62 0.2220.66% 23.70% 44.00% 82.88% 0.47 -0.0429.44% 21.89% 32.35% 70.67% 0.91 0.1115.76% 21.48% 33.99% 84.33% 0.46 -0.0715.20% 17.67% 32.25% 79.25% 0.47 -0.0317.37% 17.18% 31.15% 78.67% 0.56 0.0020.42% 16.21% 28.07% 57.36% 0.73 0.0721.03% 16.16% 38.11% 73.49% 0.55 0.0719.70% 16.04% 37.14% 72.87% 0.53 0.0513.64% 13.89% 34.09% 58.55% 0.40 0.0017.31% 13.83% 40.01% 60.94% 0.43 0.0621.27% 12.71% 37.95% 69.63% 0.56 0.1212.80% 12.06% 27.93% 71.76% 0.46 0.0121.08% 10.88% 37.62% 59.52% 0.56 0.1716.87% 10.60% 32.92% 60.78% 0.51 0.1013.08% 10.55% 29.93% 54.77% 0.44 0.058.19% 10.33% 42.81% 78.24% 0.19 -0.038.08% 8.98% 35.59% 65.59% 0.23 -0.019.90% 8.07% 29.81% 66.10% 0.33 0.0312.46% 7.52% 45.11% 73.06% 0.28 0.075.90% 7.49% 48.96% 71.74% 0.12 -0.0211.70% 7.11% 0.25 0.086.78% 7.01% 0.19 0.0015.26% 6.64% 30.69% 47.52% 0.50 0.1810.36% 4.33% 49.87% 61.66% 0.21 0.1011.24% 4.12% 31.01% 58.76% 0.36 0.122.60% 3.63% 39.66% 68.29% 0.07 -0.024.50% -1.46% 39.96% 58.51% 0.11 0.101.09% -1.48% 50.98% 72.35% 0.02 0.042.87% -2.92% 37.71% 37.44% 0.08 0.15-8.82% -9.15% 77.30% 61.25% -0.11 0.01米筐注：阈值设置为0，交易成本为单边万3，下同。图17：基础化工行业Asym多头策略累计净值（2018.12.28-2026.06.12）6543210基础化工 基础化工买入持有

图18：有色金属行业Asym多头策略累计净值（2018.12.28-2026.06.12）876543210有色金属 有色金属买入持有米筐 米筐图19：机械设备行业Asym多头策略累计净值（2018.12.28-2026.06.12）

图 20：通信行业 多头策略累计净值（2018.12.28-2026.06.12）876543210机械设备 机械设备买入持有

2520151050通信 通信_买入有米筐 米筐“银行科技”哑铃组合AsymAsym6220%62014.07.01-2026.06.123009.63%34.76%，45430（46207年外，其余每年都能战胜沪深300全收益指数，体现了配置和交易融合后的优势。图21：“银行+科技”哑铃组合累计净值（2014.06.30-2026.06.12）109876543210银行+科技 万得偏混合基金数 沪深300全收益银行 纯科技 50%银行+50%科技米筐，注：阈值设置为0，交易成本为单边万分之3。2上午Asym>0。区间累计风险收益特征分年度收益累计收益年化收益年化波动率最大回撤下行标准差Sharpe区间累计风险收益特征分年度收益累计收益年化收益年化波动率最大回撤下行标准差SharpeSortino银行+816.39%20.27%21.24%34.76%12.03%0.950.581.69120.20%-3.82%2.37%-19.11%48.89%41.82%12.74%-10.67%-5.84%28.78%26.52%13.48%万得偏股混合沪深300全收益型基金指数236.63% 188.72%10.64% 9.220.94% 21.045.42% 46.013.45% 13.40.51 0.440.23 0.200.79 0.6843.17% 7.22%-13.03% -9.26%14.12% 24.25%-23.58% -23.64%45.02% 39.19%55.91% 29.89%7.68% -3.52%-21.03% -19.84%-13.52% -9.14%3.45% 18.24%33.19% 20.98%9.40% 3.93%银行5.95%21.23%37.44%12.55%0.280.160.47-1.36%-4.93%13.28%22.93%-3.25%-4.58%-7.89%34.39%7.00%-1.77%纯科技 银行+50%科技187.05% 172.71%9.18% 8.727.35% 19.669.75% 48.817.68% 12.70.34 0.440.13 0.180.52 0.6960.61% 29.79%-18.97% -11.46%-8.36% 2.44%-35.59% -25.29%31.31% 27.86%34.03% 14.82%16.12% 6.13%-24.39% -16.90%3.35% -1.87%11.49% 24.14%46.92% 26.65%13.69% 6.