本手册包含了用于投资组合信号分析的专业 SQL 查询。这些查询可以帮助您诊断策略信号的质量和合理性。
点击每个查询右上角的 "📋 复制 SQL" 按钮,即可复制完整的查询语句到剪贴板
trade_signals - 包含所有交易信号数据快速诊断数据质量,检查数据完整性、记录数量、时间范围和信号有效性。
-- 信号数据健康检查
WITH health_metrics AS (
SELECT
COUNT(*) as total_records,
COUNT(DISTINCT symbol) as symbol_count,
COUNT(DISTINCT date) as date_count,
MIN(date) as start_date,
MAX(date) as end_date,
COUNT(CASE WHEN signal NOT IN ('B','S','H','E') OR signal IS NULL THEN 1 END) as invalid_signals
FROM trade_signals
)
SELECT
'数据规模' as check_item,
total_records || ' records, ' || symbol_count || ' symbols' as result,
CASE WHEN total_records > 0 THEN '✅ 正常' ELSE '❌ 无数据' END as status
FROM health_metrics
UNION ALL
SELECT
'时间范围',
start_date || ' to ' || end_date || ' (' || date_count || ' days)',
CASE WHEN date_count > 0 THEN '✅ 正常' ELSE '❌ 无数据' END
FROM health_metrics
UNION ALL
SELECT
'信号有效性',
CASE WHEN invalid_signals = 0 THEN 'All signals are valid (B/S/H/E)'
ELSE invalid_signals || ' invalid signals found' END,
CASE WHEN invalid_signals = 0 THEN '✅ 正常' ELSE '❌ 发现无效信号' END
FROM health_metrics;检测不符合交易逻辑的信号切换,识别异常的买卖时机。
-- 信号切换逻辑验证
WITH signal_transitions AS (
SELECT
date,
symbol,
signal as current_signal,
LAG(signal) OVER (PARTITION BY symbol ORDER BY date) as prev_signal
FROM trade_signals
),
transition_analysis AS (
SELECT
prev_signal || ' → ' || current_signal as transition,
COUNT(*) as count,
CASE
-- 异常切换
WHEN prev_signal = 'H' AND current_signal = 'E' THEN '❌ 异常: 持有直接空仓(应经过卖出)'
WHEN prev_signal = 'B' AND current_signal = 'S' THEN '❌ 异常: 买入直接卖出'
WHEN prev_signal = 'E' AND current_signal = 'S' THEN '❌ 异常: 空仓时卖出'
WHEN prev_signal = 'S' AND current_signal = 'B' THEN '❌ 异常: 卖出直接买入'
-- 正常切换
WHEN prev_signal = 'E' AND current_signal = 'B' THEN '✅ 正常: 空仓买入'
WHEN prev_signal = 'B' AND current_signal = 'H' THEN '✅ 正常: 买入后持有'
WHEN prev_signal = 'H' AND current_signal = 'S' THEN '✅ 正常: 持有后卖出'
WHEN prev_signal = 'S' AND current_signal = 'E' THEN '✅ 正常: 卖出后空仓'
WHEN prev_signal = 'H' AND current_signal = 'B' THEN '✅ 正常: 定投加仓'
WHEN prev_signal = current_signal THEN '⚪ 无变化: 状态保持'
ELSE '❓ 其他: ' || prev_signal || ' → ' || current_signal
END as logic_check
FROM signal_transitions
WHERE prev_signal IS NOT NULL
GROUP BY prev_signal, current_signal
)
SELECT
transition,
count,
ROUND(count * 100.0 / (SELECT SUM(count) FROM transition_analysis), 2) as percentage,
logic_check
FROM transition_analysis
WHERE count > 0
ORDER BY
CASE WHEN logic_check LIKE '❌%' THEN 1
WHEN logic_check LIKE '❓%' THEN 2
WHEN logic_check LIKE '✅%' THEN 3
ELSE 4 END,
count DESC
LIMIT 50;分析策略的交易特征和风格,了解主动交易与被动持仓的比例。
-- 信号分布和策略特征分析
WITH signal_stats AS (
SELECT
signal,
COUNT(*) as count,
ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM trade_signals), 2) as percentage
FROM trade_signals
GROUP BY signal
),
activity_summary AS (
SELECT
SUM(CASE WHEN signal IN ('B', 'S') THEN count ELSE 0 END) as active_count,
SUM(CASE WHEN signal IN ('H', 'E') THEN count ELSE 0 END) as passive_count,
SUM(count) as total_count
FROM signal_stats
)
SELECT
signal || ' (' ||
CASE
WHEN signal = 'B' THEN 'Buy'
WHEN signal = 'S' THEN 'Sell'
WHEN signal = 'H' THEN 'Hold'
WHEN signal = 'E' THEN 'Empty'
ELSE 'Unknown'
END || ')' as signal_type,
count,
percentage || '%' as percentage_str,
CASE
WHEN signal IN ('B', 'S') THEN '🔥 Active Trading'
WHEN signal IN ('H', 'E') THEN '💤 Passive Holding'
ELSE '❓ Unknown'
END as activity_style
FROM signal_stats
UNION ALL
SELECT
'--- 策略风格评估 ---',
NULL,
ROUND(active_count * 100.0 / total_count, 2) || '% Active, ' ||
ROUND(passive_count * 100.0 / total_count, 2) || '% Passive',
CASE
WHEN active_count * 100.0 / total_count > 10 THEN '🔥 激进型策略'
WHEN active_count * 100.0 / total_count > 2 THEN '⚖️ 平衡型策略'
ELSE '💤 保守型策略'
END
FROM activity_summary
ORDER BY count DESC NULLS LAST;查看最新的信号状态,了解当前策略的持仓情况。
-- 最近信号状态查询
SELECT
date,
symbol,
signal,
CASE
WHEN signal = 'B' THEN '🟢 Buy'
WHEN signal = 'S' THEN '🔴 Sell'
WHEN signal = 'H' THEN '🟡 Hold'
WHEN signal = 'E' THEN '⚪ Empty'
ELSE '❓ Unknown'
END as signal_status
FROM trade_signals
WHERE date >= (SELECT date(MAX(date), '-7 days') FROM trade_signals)
ORDER BY date DESC, symbol
LIMIT 30;