要获得ratings.id个ratings.ticker，其中prices.price_date > ratings.date_issued在日期范围内增加5％：
在哪里prices.price_date < new_rating.date_issued
如果（为该股票代理/经纪人组合发布了另一个评级），则| id | ticker | broker | issue_date | close_price |
|------|--------|--------|------------|-------------|
| 22 | ABF | HSBC | 2017-01-23 | 2523 |
| 775 | ABF | HSBC | 2017-02-15 | 2527 |
| 1111 | ABF | HSBC | 2017-02-28 | 2619 |
否则不设置小于日期的where子句
| id | ticker | price_date | price |
|-------|--------|------------|---------|
| 42 | ABF | 2017-01-24 | 2533.52 |
| 80 | ABF | 2017-01-25 | 2531.00 |
| 145 | ABF | 2017-01-26 | 2500.00 |
| 263 | ABF | 2017-01-27 | 2420.00 |
| 416 | ABF | 2017-01-28 | 2440.00 |
| 585 | ABF | 2017-01-29 | 2440.00 |
| 754 | ABF | 2017-01-30 | 2440.00 |
| 923 | ABF | 2017-01-31 | 2449.00 |
| 1112 | ABF | 2017-02-01 | 2440.00 |
| 1315 | ABF | 2017-02-02 | 2405.00 |
| 1535 | ABF | 2017-02-03 | 2388.00 |
| 1778 | ABF | 2017-02-04 | 2427.00 |
| 2044 | ABF | 2017-02-05 | 2427.00 |
| 2309 | ABF | 2017-02-06 | 2427.00 |
| 2575 | ABF | 2017-02-07 | 2412.00 |
| 2859 | ABF | 2017-02-08 | 2451.00 |
| 3159 | ABF | 2017-02-09 | 2503.00 |
| 3475 | ABF | 2017-02-10 | 2507.00 |
| 3797 | ABF | 2017-02-11 | 2500.00 |
| 4125 | ABF | 2017-02-12 | 2500.00 |
| 4453 | ABF | 2017-02-13 | 2500.00 |
| 4779 | ABF | 2017-02-14 | 2575.00 |
| 5111 | ABF | 2017-02-15 | 2550.00 |
| 5450 | ABF | 2017-02-16 | 2561.00 |
| 5798 | ABF | 2017-02-17 | 2579.00 |
| 6151 | ABF | 2017-02-18 | 2609.02 |
| 6507 | ABF | 2017-02-19 | 2609.02 |
| 6863 | ABF | 2017-02-20 | 2609.02 |
| 7219 | ABF | 2017-02-21 | 2616.00 |
| 7580 | ABF | 2017-02-22 | 2586.00 |
| 7951 | ABF | 2017-02-23 | 2620.36 |
| 8635 | ABF | 2017-02-24 | 2620.00 |
| 8963 | ABF | 2017-02-25 | 2632.72 |
| 9291 | ABF | 2017-02-28 | 2668.00 |
| 11551 | ABF | 2017-03-08 | 2618.00 |
| 11842 | ABF | 2017-03-09 | 2639.00 |
| 12190 | ABF | 2017-03-10 | 2645.00 |
| 12538 | ABF | 2017-03-13 | 2657.00 |
| 12894 | ABF | 2017-03-14 | 2657.50 |
SELECT
ratings.id AS rating_id
MIN(price_date) AS first_correct,
DATEDIFF( MIN(price_date), issue_date ) AS days_lapsed
FROM
(
SELECT
ratings.id,
ratings.ticker,
broker,
issue_date,
close_price,
price_date,
( ( ( price - close_price) / close_price ) * 100 ) AS diff_percent,
FROM ratings
JOIN prices
ON ratings.ticker = prices.ticker
WHERE price_date > issue_date
HAVING diff_percent >= 5
) correct_ratings
GROUP BY ratings.id
| rating_id | ticker | broker | issue_date | close_price | price_date | diff_percent | first_correct | days_lapsed |
|-----------|--------|--------|------------|-------------|------------|--------------|---------------|-------------|
| 22 | ABF | HSBC | 2017-01-23 | 2523 | 2017-02-28 | 5.747126 | 2017-02-28 | 36 |
| 775 | ABF | HSBC | 2017-02-15 | 2527 | 2017-02-28 | 5.579739 | 2017-02-28 | 13 |
first_correct正如您所看到的，rating_id=22的{{1}}日期位于issue_date rating_id=775之后。所以不应该出现在表格中。结果中只应包含rating_id=775。
答案 0 :(得分：0)
正如我在问题中所提到的，问题是我只有一个开始日期来检查百分比的增加，实际上我需要一个start_date 和一个end_date。
可以推导出的唯一方法是检查该经纪人/股票代码组合的下一个评级，并将其添加到名为end_date的新列。
我可以使用此处的查询创建新列：https://stackoverflow.com/a/15247545/1281101
有时评分为未被取代，end_date将为NULL，这可由IFNULL(column, return) MySQL函数处理。
结束查询如下所示：
SELECT *
FROM (
SELECT rating_id, wp_broker_ratings.ticker, broker, date_issued AS start_date, issue_date_close_price, (
SELECT MIN(st.date_issued)
FROM wp_broker_ratings st
WHERE st.broker = wp_broker_ratings.broker
AND st.ticker = wp_broker_ratings.ticker
AND st.date_issued > wp_broker_ratings.date_issued ) AS end_date, price_id, price_date, day_high AS absolute_correct_price, ( ( ( day_high - issue_date_close_price) / issue_date_close_price ) * 100 ) AS pct_diff
FROM wp_broker_ratings
INNER JOIN wp_share_prices
ON wp_broker_ratings.ticker = wp_share_prices.ticker
WHERE buy_sell = 'buy'
HAVING price_date > start_date
AND price_date <= IFNULL(end_date,'2050-01-01')
AND pct_diff >= 5 ) correct
GROUP BY rating_id
希望这可能有助于其他人。