量化交易社区-非s丅DDE大单净额为正、下破五日均线、行业板块涨幅前5

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2023-11-15 发布

问财量化选股策略逻辑

本篇文章将介绍一种问财量化选股策略,该策略基于非S丅DDE大单净额为正,下破五日均线,行业板块涨幅前五等选股逻辑。

首先,非S丅DDE大单净额为正是我们选股的重要指标之一。非S丅DDE是指在某个时间段内,大单交易的净额为正,说明有投资者在此时间段内买进,有上涨的可能性。

其次,下破五日均线也是我们选股的重要指标之一。五日均线是股票价格的重要支撑线,如果股票价格跌破五日均线,往往意味着股票价格可能会下跌。

最后,行业板块涨幅前五是指在某个时间段内,涨幅排名前五的行业板块。这些行业板块往往是当前市场上的热门板块,如果投资者能够及时抓住这些板块,往往能够获得较高的收益。

选股逻辑分析

以上所述的选股逻辑存在以下风险:

  1. 市场风险:股票市场是充满不确定性的,价格可能会受到各种因素的影响,如政策、经济等。

  2. 技术风险:选股逻辑是基于技术分析的,如果市场价格波动较大,可能会导致选股策略失效。

  3. 选股风险:选股策略是基于一定的逻辑和规则的,如果这些规则和逻辑不够准确,可能会导致选股策略失效。

针对以上风险,我们可以通过以下方式进行优化:

  1. 增加风险控制机制:在选股策略中增加风险控制机制,如设置止损线等,以降低市场风险和技术风险。

  2. 提高选股规则的准确性:通过对历史数据的分析,提高选股规则的准确性,以降低选股风险。

  3. 定期更新选股策略:定期对选股策略进行更新,以适应市场的变化。

如何优化?

为了优化选股策略,我们可以从以下几个方面进行:

  1. 增加选股规则:可以增加更多的选股规则,如成交量、市盈率等。

  2. 引入更多的技术分析指标:可以引入更多的技术分析指标,如MACD、RSI等。

  3. 结合基本面分析:可以结合公司的基本面信息,如财务报表、经营状况等,以提高选股的准确性。

如何优化?

1. 增加选股规则

可以增加以下选股规则:

  1. 非S丅DDE大单净额为正
  2. 五日均线破位
  3. 行业板块涨幅前五

2. 引入更多的技术分析指标

可以引入以下技术分析指标:

  1. 成交量
  2. 市盈率
  3. MACD
  4. RSI

3. 结合基本面分析

可以结合以下基本面信息:

  1. 公司的财务报表
  2. 公司的经营状况
  3. 公司的行业地位

选股逻辑分析

以上所述的选股策略存在以下风险:

  1. 市场风险:股票市场是充满不确定性的,价格可能会受到各种因素的影响,如政策、经济等。

  2. 技术风险:选股逻辑是基于技术分析的,如果市场价格波动较大,可能会导致选股策略失效。

  3. 选股风险:选股策略是基于一定的规则和逻辑的,如果这些规则和逻辑不够准确,可能会导致选股策略失效。

有何风险?

以上所述的选股策略存在市场风险、技术风险和选股风险。

如何优化?

  1. 增加风险控制机制:在选股策略中增加风险控制机制,如设置止损线等,以降低市场风险和技术风险。

  2. 提高选股规则的准确性:通过对历史数据的分析,提高选股规则的准确性,以降低选股风险。

  3. 定期更新选股策略:定期对选股策略进行更新,以适应市场的变化。

有何风险?

以上所述的选股策略存在市场风险、技术风险和选股风险。

如何优化?

  1. 增加风险控制机制:在选股策略中增加风险控制机制,如设置止损线等,以降低市场风险和技术风险。

  2. 提高选股规则的准确性:通过对历史数据的分析,提高选股规则的准确性,以降低选股风险。

  3. 定期更新选股策略:定期对选股策略进行更新,以适应市场的变化。

常见问题

  1. 选股策略的规则和逻辑是否足够准确?
  2. 选股策略是否考虑了市场风险和技术风险?
  3. 选股策略是否结合了公司的基本面信息?
  4. 选股策略是否需要定期更新?
  5. 选股策略是否需要设置止损线等风险控制机制?

常见问题

  1. 选股策略的规则和逻辑是否足够准确?
  2. 选股策略是否考虑了市场风险和技术风险?
  3. 选股策略是否结合了公司的基本面信息?
  4. 选股策略是否需要定期更新?
  5. 选股策略是否需要设置止损线等风险控制机制?

指标公式代码参考

以下是选股策略中可能用到的指标公式代码:

  1. 非S丅DDE大单净额为正:`datasource: "ticker" where type="bar" and attribute="ts" and attribute<="today" and attribute>="yesterday" and attribute>=1 and attribute<=5 and clr=w and msk=g and sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma=sma(close,50) and sma=sma(close,200) and close>sma and close>sma*1.01 and close<sma*1.01 and sma>sma*0.99 and sma<sma*0.98 and close>sma*0.98 and close<sma*1.01 and close>sma*1.02 and close<sma*1.02 and close>sma*1.03 and close<sma*1.03 and close>sma*1.04 and close<sma*1.04 and close>sma*1.05 and close<sma*1.05 and close>sma*1.06 and close<sma*1.06 and close>sma*1.07 and close<sma*1.07 and close>sma*1.08 and close<sma*1.08 and close>sma*1.09 and close<sma*1.09 and close>sma*1.1 and close<sma*1.1 and close>sma*1.11 and close<sma*1.11 and close>sma*1.12 and close<sma*1.12 and close>sma*1.13 and close<sma*1.13 and close>sma*1.14 and close<sma*1.14 and close>sma*1.15 and close<sma*1.15 and close>sma*1.16 and close<sma*1.16 and close>sma*1.17 and close<sma*1.17 and close>sma*1.18 and close<sma*1.18 and close>sma*1.19 and close<sma*1.19 and close>sma*1.2 and close<sma*1.2 and close>sma*1.21 and close<sma*1.21 and close>sma*1.22 and close<sma*1.22 and close>sma*1.23 and close<sma*1.23 and close>sma*1.24 and close<sma*1.24 and close>sma*1.25 and close<sma*1.25 and close>sma=sma(close,5) and sma=sma(close,20) and sma

如何进行量化策略实盘?

请把您优化好的选股语句放入文章最下面模板的选股语句中即可。

select_sentence = '市值小于100亿' #选股语句。

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点击页面下方的复制按钮,复制到自己的账户即可使用模板进行回测。
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