gupiao/src/main/resources/mapper/StockPoolHistoryMapper.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.yingpai.gupiao.mapper.StockPoolHistoryMapper">

    <!-- 查询历史数据（带隔日信息），每只股票只取隔日涨幅最大的一条 -->
    <select id="selectHistoryWithNextDay" resultType="com.yingpai.gupiao.domain.vo.StockHistoryVO">
        SELECT 
            t.id,
            t.recordDate,
            t.stockCode,
            t.stockName,
            t.closePrice,
            t.nextDayHighPrice,
            t.nextDayHighTrend,
            CASE 
                WHEN t.nextDayHighTrend IS NOT NULL AND t.nextDayHighTrend >= 2 THEN 'success'
                WHEN t.nextDayHighTrend IS NOT NULL AND t.nextDayHighTrend &lt;= -3 THEN 'fail'
                ELSE NULL
            END AS status
        FROM (
            SELECT 
                h.id,
                h.record_date AS recordDate,
                h.stock_code AS stockCode,
                h.stock_name AS stockName,
                h.close_price AS closePrice,
                next_day.day_highest_price AS nextDayHighPrice,
                next_day.high_trend AS nextDayHighTrend,
                ROW_NUMBER() OVER (PARTITION BY h.stock_code ORDER BY COALESCE(next_day.high_trend, -9999) DESC) AS rn
            FROM stock_pool_history h
            INNER JOIN stock_pool sp ON h.stock_code = sp.stock_code 
                AND sp.pool_type = #{poolType} 
                AND sp.status = 1
            LEFT JOIN (
                SELECT 
                    stock_code,
                    record_date,
                    day_highest_price,
                    high_trend
                FROM stock_pool_history
            ) next_day ON h.stock_code = next_day.stock_code 
                AND next_day.record_date = (
                    SELECT MIN(record_date) 
                    FROM stock_pool_history 
                    WHERE stock_code = h.stock_code 
                    AND record_date > h.record_date
                )
            WHERE h.record_date >= #{startDate}
              AND h.record_date &lt;= #{endDate}
        ) t
        WHERE t.rn = 1
        ORDER BY CASE WHEN t.nextDayHighTrend IS NULL THEN 1 ELSE 0 END, t.nextDayHighTrend DESC
        LIMIT #{limit} OFFSET #{offset}
    </select>

    <!-- 统计记录总数（每只股票只算一条） -->
    <select id="countHistory" resultType="int">
        SELECT COUNT(DISTINCT h.stock_code)
        FROM stock_pool_history h
        INNER JOIN stock_pool sp ON h.stock_code = sp.stock_code 
            AND sp.pool_type = #{poolType} 
            AND sp.status = 1
        WHERE h.record_date >= #{startDate}
          AND h.record_date &lt;= #{endDate}
    </select>

    <!-- 查询统计数据（成功率、平均收益、总交易次数） -->
    <select id="selectHistoryStats" resultType="map">
        SELECT 
            COUNT(*) AS totalCount,
            SUM(CASE WHEN nextDayHighTrend >= 2 THEN 1 ELSE 0 END) AS successCount,
            SUM(CASE WHEN nextDayHighTrend &lt;= -3 THEN 1 ELSE 0 END) AS failCount,
            AVG(nextDayHighTrend) AS avgTrend
        FROM (
            SELECT 
                h.stock_code,
                next_day.high_trend AS nextDayHighTrend,
                ROW_NUMBER() OVER (PARTITION BY h.stock_code ORDER BY COALESCE(next_day.high_trend, -9999) DESC) AS rn
            FROM stock_pool_history h
            INNER JOIN stock_pool sp ON h.stock_code = sp.stock_code 
                AND sp.pool_type = #{poolType} 
                AND sp.status = 1
            LEFT JOIN (
                SELECT 
                    stock_code,
                    record_date,
                    high_trend
                FROM stock_pool_history
            ) next_day ON h.stock_code = next_day.stock_code 
                AND next_day.record_date = (
                    SELECT MIN(record_date) 
                    FROM stock_pool_history 
                    WHERE stock_code = h.stock_code 
                    AND record_date > h.record_date
                )
            WHERE h.record_date >= #{startDate}
              AND h.record_date &lt;= #{endDate}
        ) t
        WHERE t.rn = 1
    </select>

    <!-- 根据股票代码或名称模糊查询最新的历史记录 -->
    <select id="selectLatestByKeyword" resultType="com.yingpai.gupiao.domain.vo.StockHistoryVO">
        SELECT
            h.id,
            h.record_date AS recordDate,
            h.stock_code AS stockCode,
            h.stock_name AS stockName,
            h.change_percent AS changePercent,
            h.close_price AS closePrice,
            h.total_amount AS totalAmount,
            h.strength_score AS strengthScore,
            h.circulation_market_value AS circulationMarketValue,
            h.main_rise_period AS mainRisePeriod,
            h.recent_rise_hand AS recentRiseHand,
            h.recent_limit_up AS recentLimitUp,
            h.day_highest_price AS dayHighestPrice,
            h.day_lowest_price AS dayLowestPrice,
            h.day_avg_price AS dayAvgPrice,
            h.day_close_price AS dayClosePrice,
            h.high_trend AS highTrend
        FROM stock_pool_history h
        WHERE (h.stock_code LIKE CONCAT('%', #{keyword}, '%')
               OR h.stock_name LIKE CONCAT('%', #{keyword}, '%'))
        ORDER BY h.record_date DESC
        LIMIT 1
    </select>

    <!-- 根据股票代码或名称和日期查询历史记录 -->
    <select id="selectByKeywordAndDate" resultType="com.yingpai.gupiao.domain.vo.StockHistoryVO">
        SELECT
            h.id,
            h.record_date AS recordDate,
            h.stock_code AS stockCode,
            h.stock_name AS stockName,
            h.change_percent AS changePercent,
            h.close_price AS closePrice,
            h.total_amount AS totalAmount,
            h.strength_score AS strengthScore,
            h.circulation_market_value AS circulationMarketValue,
            h.main_rise_period AS mainRisePeriod,
            h.recent_rise_hand AS recentRiseHand,
            h.recent_limit_up AS recentLimitUp,
            h.day_highest_price AS dayHighestPrice,
            h.day_lowest_price AS dayLowestPrice,
            h.day_avg_price AS dayAvgPrice,
            h.day_close_price AS dayClosePrice,
            h.high_trend AS highTrend
        FROM stock_pool_history h
        WHERE (h.stock_code LIKE CONCAT('%', #{keyword}, '%')
               OR h.stock_name LIKE CONCAT('%', #{keyword}, '%'))
          AND h.record_date = #{recordDate}
        LIMIT 1
    </select>

</mapper>