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持仓导入完成：holding.xls→SQLite+portfolio.json全同步

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1. 从 ~/stocks/holding.xls 导入25只持仓（14A/11H）
2. 同时写入 portfolio.json + SQLite holdings 表
3. stale_push_wlin 现金来源从 stale_report 改为 portfolio.json
4. portfolio.json 增加 total_assets 字段兼容 stale_detector
5. 导入脚本已规范化为 MoFin/scripts/import_holding_xls.py
   用法：python3 import_holding_xls.py [--cash 金额]
6. 全量策略重评+决策树重建立即执行

Dad下次更新holding.xls后跑：
  cd MoFin && python3 scripts/import_holding_xls.py
This commit is contained in:
知微
2026-06-24 11:21:51 +08:00
parent df4f898bc4
commit e2646c36cb
5 changed files with 414 additions and 158 deletions
Download Patch File Download Diff File Expand all files Collapse all files
data/decisions.json
+62 -62
View File
@@ -315,18 +315,18 @@
{
"code": "000711",
"name": "ST京蓝",
"price": 5.16,
"price": 5.0,
"cost": 0,
"shares": 0,
"avg_price": 0,
"action": "盈利持有 | ⚠️盈亏比不足1:1.5，不建议买入 | 目标5.38 | 止损4.4 | 买入区5.06~5.11 | 信号:观望",
"stop_loss": 4.4,
"entry_low": 5.06,
"entry_high": 5.11,
"tech_snapshot": "形态:带下影阳线/neutral 量价:主动卖盘占优 强撑:4.86 弱撑:4.93 弱压:5.32 强压:5.38",
"action": "盈利持有 | 目标5.38 | 止损4.82 | 买入区4.9~5.04 | 信号:观望",
"stop_loss": 4.82,
"entry_low": 4.9,
"entry_high": 5.04,
"tech_snapshot": "形态:倒T线/射击之星/bearish 量价:主动卖盘占优 强撑:4.86 弱撑:4.82 弱压:5.21 强压:5.38",
"timing_signal": "观望",
"rr_ratio": 0.96,
"status": "review",
"rr_ratio": 2.11,
"status": "updated",
"note": "⚠️盈亏比不足1:1.5，不建议买入",
"timestamp": "2026-06-24 11:16",
"updated_at": "2026-06-24 11:16",
@@ -430,7 +430,7 @@
{
"id": "000711_stop_loss",
"condition": {
"price": "<4.4"
"price": "<4.82"
},
"action": {
"type": "sell",
@@ -447,13 +447,13 @@
"id": "000711_buy_dip",
"condition": {
"scenario": "weak_consolidation",
"price": "<=5.11",
"price_lower": ">=5.06"
"price": "<=5.04",
"price_lower": ">=4.9"
},
"action": {
"type": "buy",
"amount": "normal",
"limit": 5.06,
"limit": 4.9,
"reason": "回调支撑买入"
},
"priority": 1,
@@ -743,17 +743,17 @@
{
"code": "002594",
"name": "比亚迪",
"price": 82.82,
"price": 82.79,
"cost": 0,
"shares": 0,
"avg_price": 0,
"action": "盈利持有 | 目标92.55 | 止损80.34 | 买入区81.16~84.48 | 信号:观望",
"stop_loss": 80.34,
"entry_low": 81.16,
"entry_high": 84.48,
"tech_snapshot": "形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:76.5 弱撑:82.17 弱压:85.0 强压:92.55",
"action": "盈利持有 | 目标92.54 | 止损80.31 | 买入区81.13~84.45 | 信号:观望",
"stop_loss": 80.31,
"entry_low": 81.13,
"entry_high": 84.45,
"tech_snapshot": "形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:76.5 弱撑:82.15 弱压:85.0 强压:92.54",
"timing_signal": "观望",
"rr_ratio": 3.92,
"rr_ratio": 3.93,
"status": "updated",
"note": "",
"timestamp": "2026-06-24 11:16",
@@ -765,7 +765,7 @@
"position_advice": "减仓或观望",
"time_horizon": "观望",
"created_at": "2026-06-18 17:15",
"take_profit": 92.55,
"take_profit": 92.54,
"updated_reason": "技术面重评: 止损77.92→77.93 | 形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:76.5 弱撑:82.17 弱压:85.0 强压:92.5",
"changelog": [
{
@@ -865,7 +865,7 @@
{
"id": "002594_stop_loss",
"condition": {
"price": "<80.34"
"price": "<80.31"
},
"action": {
"type": "sell",
@@ -882,13 +882,13 @@
"id": "002594_buy_dip",
"condition": {
"scenario": "weak_consolidation",
"price": "<=84.48",
"price_lower": ">=81.16"
"price": "<=84.45",
"price_lower": ">=81.13"
},
"action": {
"type": "buy",
"amount": "normal",
"limit": 81.16,
"limit": 81.13,
"reason": "回调支撑买入"
},
"priority": 1,
@@ -901,7 +901,7 @@
"id": "002594_breakout_chase",
"condition": {
"scenario": "bullish_recovery",
"price": ">=92.55"
"price": ">=92.54"
},
"action": {
"type": "buy",
@@ -935,7 +935,7 @@
{
"id": "002594_take_profit",
"condition": {
"price": ">=92.55"
"price": ">=92.54"
},
"action": {
"type": "sell",
@@ -5192,17 +5192,17 @@
{
"code": "300124",
"name": "汇川技术",
"price": 65.87,
"price": 66.01,
"cost": 0,
"shares": 0,
"avg_price": 0,
"action": "盈利持有 | 目标72.99 | 止损63.89 | 买入区64.55~67.19 | 信号:观望",
"stop_loss": 63.89,
"entry_low": 64.55,
"entry_high": 67.19,
"tech_snapshot": "形态:带上影阴线/bearish 量价:主动卖盘占优 强撑:59.75 弱撑:65.24 弱压:66.99 强压:72.99",
"action": "盈利持有 | 目标73.03 | 止损64.03 | 买入区64.69~67.33 | 信号:观望",
"stop_loss": 64.03,
"entry_low": 64.69,
"entry_high": 67.33,
"tech_snapshot": "形态:带上影阴线/bearish 量价:主动卖盘占优 强撑:59.79 弱撑:65.34 弱压:67.09 强压:73.03",
"timing_signal": "观望",
"rr_ratio": 3.6,
"rr_ratio": 3.55,
"status": "updated",
"note": "",
"timestamp": "2026-06-24 11:17",
@@ -5214,7 +5214,7 @@
"position_advice": "减仓或观望",
"time_horizon": "观望",
"created_at": "2026-06-18 17:15",
"take_profit": 72.99,
"take_profit": 73.03,
"updated_reason": "技术面重评: 止损61.97→62.13 | 形态:带上影阴线/bearish 量价:主动卖盘占优 强撑:59.78 弱撑:65.32 弱压:67.07 强压:73.",
"changelog": [
{
@@ -5307,7 +5307,7 @@
{
"id": "300124_stop_loss",
"condition": {
"price": "<63.89"
"price": "<64.03"
},
"action": {
"type": "sell",
@@ -5324,13 +5324,13 @@
"id": "300124_buy_dip",
"condition": {
"scenario": "weak_consolidation",
"price": "<=67.19",
"price_lower": ">=64.55"
"price": "<=67.33",
"price_lower": ">=64.69"
},
"action": {
"type": "buy",
"amount": "normal",
"limit": 64.55,
"limit": 64.69,
"reason": "回调支撑买入"
},
"priority": 1,
@@ -5343,7 +5343,7 @@
"id": "300124_breakout_chase",
"condition": {
"scenario": "bullish_recovery",
"price": ">=72.99"
"price": ">=73.03"
},
"action": {
"type": "buy",
@@ -5377,7 +5377,7 @@
{
"id": "300124_take_profit",
"condition": {
"price": ">=72.99"
"price": ">=73.03"
},
"action": {
"type": "sell",
@@ -7264,11 +7264,11 @@
"cost": 0,
"shares": 0,
"avg_price": 0,
"action": "盈利持有 | 目标53.71 | 止损47.9 | 买入区48.39~50.22 | 信号:观望",
"action": "盈利持有 | 目标53.72 | 止损47.9 | 买入区48.39~50.23 | 信号:观望",
"stop_loss": 47.9,
"entry_low": 48.39,
"entry_high": 50.22,
"tech_snapshot": "形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:45.81 弱撑:48.65 弱压:50.5 强压:53.71",
"entry_high": 50.23,
"tech_snapshot": "形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:45.82 弱撑:48.65 弱压:50.5 强压:53.72",
"timing_signal": "观望",
"rr_ratio": 2.93,
"status": "updated",
@@ -7282,7 +7282,7 @@
"position_advice": "减仓或观望",
"time_horizon": "观望",
"created_at": "2026-06-22 11:50",
"take_profit": 53.71,
"take_profit": 53.72,
"changelog": [
{
"date": "2026-06-22 12:01",
@@ -7335,7 +7335,7 @@
"id": "601318_buy_dip",
"condition": {
"scenario": "weak_consolidation",
"price": "<=50.22",
"price": "<=50.23",
"price_lower": ">=48.39"
},
"action": {
@@ -7354,7 +7354,7 @@
"id": "601318_breakout_chase",
"condition": {
"scenario": "bullish_recovery",
"price": ">=53.71"
"price": ">=53.72"
},
"action": {
"type": "buy",
@@ -7388,7 +7388,7 @@
{
"id": "601318_take_profit",
"condition": {
"price": ">=53.71"
"price": ">=53.72"
},
"action": {
"type": "sell",
@@ -8426,17 +8426,17 @@
{
"code": "688795",
"name": "摩尔线程-U",
"price": 678.5,
"price": 679.95,
"cost": 0,
"shares": 0,
"avg_price": 0,
"action": "盈利持有 | 目标816.82 | 止损658.14 | 买入区664.93~692.07 | 信号:观望",
"stop_loss": 658.14,
"entry_low": 664.93,
"entry_high": 692.07,
"tech_snapshot": "形态:带下影阴线/neutral 量价:主动卖盘占优 强撑:563.22 弱撑:665.33 弱压:704.03 强压:816.82",
"action": "盈利持有 | 目标817.3 | 止损659.55 | 买入区666.35~693.55 | 信号:观望",
"stop_loss": 659.55,
"entry_low": 666.35,
"entry_high": 693.55,
"tech_snapshot": "形态:带下影阴线/neutral 量价:主动卖盘占优 强撑:563.22 弱撑:666.3 弱压:704.03 强压:817.3",
"timing_signal": "观望",
"rr_ratio": 6.79,
"rr_ratio": 6.73,
"status": "updated",
"note": "",
"timestamp": "2026-06-24 11:17",
@@ -8448,7 +8448,7 @@
"position_advice": "正常配置",
"time_horizon": "数月~1年",
"created_at": "2026-06-18 17:15",
"take_profit": 816.82,
"take_profit": 817.3,
"updated_reason": "技术面重评: 止损635.13→637.94 | 形态:光头光脚阴线/bearish 量价:主动卖盘占优 强撑:563.22 弱撑:665.0 弱压:704.03 强压:",
"changelog": [
{
@@ -8541,7 +8541,7 @@
{
"id": "688795_stop_loss",
"condition": {
"price": "<658.14"
"price": "<659.55"
},
"action": {
"type": "sell",
@@ -8558,13 +8558,13 @@
"id": "688795_buy_dip",
"condition": {
"scenario": "weak_consolidation",
"price": "<=692.07",
"price_lower": ">=664.93"
"price": "<=693.55",
"price_lower": ">=666.35"
},
"action": {
"type": "buy",
"amount": "normal",
"limit": 664.93,
"limit": 666.35,
"reason": "回调支撑买入"
},
"priority": 1,
@@ -8577,7 +8577,7 @@
"id": "688795_breakout_chase",
"condition": {
"scenario": "bullish_recovery",
"price": ">=816.82"
"price": ">=817.3"
},
"action": {
"type": "buy",
@@ -8611,7 +8611,7 @@
{
"id": "688795_take_profit",
"condition": {
"price": ">=816.82"
"price": ">=817.3"
},
"action": {
"type": "sell",
@@ -9065,5 +9065,5 @@
}
],
"total": 42,
"regenerated_at": "2026-06-24 11:19"
"regenerated_at": "2026-06-24 11:21"
}
data/portfolio.json
+47 -39
View File
@@ -5,21 +5,22 @@
"name": "德明利",
"shares": 100,
"avail_shares": 100,
"price": 790.0,
"price": 790.9,
"cost_price": 737.0374,
"pl": 5096.26,
"pl_pct": 6.91,
"currency": "CNY",
"market_val": 78800.0,
"cost_amount": 73703.74,
"exchange_rate": 0.866
"exchange_rate": 0.866,
"change_pct": 4.75
},
{
"code": "01478",
"name": "丘钛科技",
"shares": 11000,
"avail_shares": 11000,
"price": 7.57,
"price": 7.54,
"cost_price": 13.8089,
"pl": -59438.6,
"pl_pct": -45.18,
@@ -27,14 +28,14 @@
"market_val": 72120.15,
"cost_amount": 131558.75,
"exchange_rate": 0.8661,
"change_pct": -3.93
"change_pct": -4.19
},
{
"code": "600739",
"name": "辽宁成大",
"shares": 6600,
"avail_shares": 6600,
"price": 10.44,
"price": 10.45,
"cost_price": 12.2862,
"pl": -11789.02,
"pl_pct": -14.54,
@@ -42,14 +43,14 @@
"market_val": 69300.0,
"cost_amount": 81089.02,
"exchange_rate": 0.866,
"change_pct": -1.97
"change_pct": -1.88
},
{
"code": "601899",
"name": "紫金矿业",
"shares": 2400,
"avail_shares": 2400,
"price": 27.38,
"price": 27.36,
"cost_price": 40.2685,
"pl": -30572.29,
"pl_pct": -31.63,
@@ -63,21 +64,22 @@
"name": "华恒生物",
"shares": 2800,
"avail_shares": 0,
"price": 21.31,
"price": 21.35,
"cost_price": 21.5085,
"pl": -135.75,
"pl_pct": -0.23,
"currency": "CNY",
"market_val": 60088.0,
"cost_amount": 60223.75,
"exchange_rate": 0.866
"exchange_rate": 0.866,
"change_pct": -2.2
},
{
"code": "09988",
"name": "阿里巴巴－Ｗ",
"shares": 700,
"avail_shares": 700,
"price": 98.55,
"price": 98.6,
"cost_price": 126.1516,
"pl": -16582.48,
"pl_pct": -21.68,
@@ -85,7 +87,7 @@
"market_val": 59899.48,
"cost_amount": 76481.96,
"exchange_rate": 0.8661,
"change_pct": -0.4
"change_pct": -0.35
},
{
"code": "603259",
@@ -106,7 +108,7 @@
"name": "中芯国际",
"shares": 300,
"avail_shares": 300,
"price": 149.89,
"price": 150.64,
"cost_price": 126.0681,
"pl": 7173.58,
"pl_pct": 18.97,
@@ -114,7 +116,7 @@
"market_val": 44994.0,
"cost_amount": 37820.42,
"exchange_rate": 0.866,
"change_pct": 5.78
"change_pct": 6.31
},
{
"code": "01888",
@@ -150,7 +152,7 @@
"name": "中银香港",
"shares": 1000,
"avail_shares": 1000,
"price": 46.22,
"price": 46.26,
"cost_price": 43.7892,
"pl": 2053.39,
"pl_pct": 5.41,
@@ -158,14 +160,14 @@
"market_val": 39979.18,
"cost_amount": 37925.79,
"exchange_rate": 0.8661,
"change_pct": -1.66
"change_pct": -1.62
},
{
"code": "300750",
"name": "宁德时代",
"shares": 100,
"avail_shares": 100,
"price": 391.09,
"price": 391.19,
"cost_price": 401.7803,
"pl": -1063.03,
"pl_pct": -2.65,
@@ -173,21 +175,22 @@
"market_val": 39115.0,
"cost_amount": 40178.03,
"exchange_rate": 0.866,
"change_pct": -0.36
"change_pct": -0.34
},
{
"code": "01211",
"name": "比亚迪股份",
"shares": 600,
"avail_shares": 600,
"price": 75.0,
"price": 74.85,
"cost_price": 105.0542,
"pl": -15539.97,
"pl_pct": -28.47,
"currency": "HKD",
"market_val": 39052.45,
"cost_amount": 54592.42,
"exchange_rate": 0.8661
"exchange_rate": 0.8661,
"change_pct": -1.25
},
{
"code": "00700",
@@ -209,7 +212,7 @@
"name": "中芯国际",
"shares": 500,
"avail_shares": 500,
"price": 83.15,
"price": 83.25,
"cost_price": 76.0724,
"pl": 3151.55,
"pl_pct": 9.57,
@@ -217,28 +220,29 @@
"market_val": 36094.72,
"cost_amount": 32943.17,
"exchange_rate": 0.8661,
"change_pct": 6.81
"change_pct": 6.62
},
{
"code": "09868",
"name": "小鹏集团－Ｗ",
"shares": 700,
"avail_shares": 700,
"price": 50.2,
"price": 50.1,
"cost_price": 51.3644,
"pl": -675.62,
"pl_pct": -2.17,
"currency": "HKD",
"market_val": 30465.07,
"cost_amount": 31140.69,
"exchange_rate": 0.8661
"exchange_rate": 0.8661,
"change_pct": 1.5
},
{
"code": "600036",
"name": "招商银行",
"shares": 800,
"avail_shares": 800,
"price": 37.06,
"price": 37.05,
"cost_price": 38.1582,
"pl": -846.53,
"pl_pct": -2.77,
@@ -246,14 +250,14 @@
"market_val": 29680.0,
"cost_amount": 30526.53,
"exchange_rate": 0.866,
"change_pct": -0.91
"change_pct": -0.94
},
{
"code": "300548",
"name": "长芯博创",
"shares": 100,
"avail_shares": 100,
"price": 276.12,
"price": 276.79,
"cost_price": 231.46,
"pl": 4766.0,
"pl_pct": 20.59,
@@ -261,14 +265,14 @@
"market_val": 27912.0,
"cost_amount": 23146.0,
"exchange_rate": 0.866,
"change_pct": -3.46
"change_pct": -3.23
},
{
"code": "02318",
"name": "中国平安",
"shares": 500,
"avail_shares": 500,
"price": 52.7,
"price": 52.8,
"cost_price": 54.8199,
"pl": -896.35,
"pl_pct": -3.78,
@@ -276,7 +280,7 @@
"market_val": 22843.39,
"cost_amount": 23739.74,
"exchange_rate": 0.8661,
"change_pct": -1.68
"change_pct": -1.49
},
{
"code": "300035",
@@ -290,14 +294,15 @@
"currency": "CNY",
"market_val": 22442.0,
"cost_amount": 31207.91,
"exchange_rate": 0.866
"exchange_rate": 0.866,
"change_pct": -2.08
},
{
"code": "000700",
"name": "模塑科技",
"shares": 1400,
"avail_shares": 1400,
"price": 14.53,
"price": 14.52,
"cost_price": 14.8336,
"pl": -327.0,
"pl_pct": -1.57,
@@ -305,14 +310,14 @@
"market_val": 20440.0,
"cost_amount": 20767.0,
"exchange_rate": 0.866,
"change_pct": -3.0
"change_pct": -3.07
},
{
"code": "518880",
"name": "黄金ETF华安",
"shares": 2400,
"avail_shares": 2400,
"price": 8.43,
"price": 8.44,
"cost_price": 12.1915,
"pl": -8982.04,
"pl_pct": -30.7,
@@ -320,21 +325,22 @@
"market_val": 20277.6,
"cost_amount": 29259.64,
"exchange_rate": 0.866,
"change_pct": -1.21
"change_pct": -1.16
},
{
"code": "01088",
"name": "中国神华",
"shares": 500,
"avail_shares": 500,
"price": 41.92,
"price": 41.84,
"cost_price": 45.974,
"pl": -1764.27,
"pl_pct": -8.86,
"currency": "HKD",
"market_val": 18144.8,
"cost_amount": 19909.06,
"exchange_rate": 0.8661
"exchange_rate": 0.8661,
"change_pct": -0.52
},
{
"code": "600563",
@@ -355,14 +361,15 @@
"name": "双一科技",
"shares": 400,
"avail_shares": 400,
"price": 22.7,
"price": 22.68,
"cost_price": 27.178,
"pl": -1759.2,
"pl_pct": -16.18,
"currency": "CNY",
"market_val": 9112.0,
"cost_amount": 10871.2,
"exchange_rate": 0.866
"exchange_rate": 0.866,
"change_pct": -3.98
}
],
"cash": 80476,
@@ -370,5 +377,6 @@
"total_pl": -164810.3,
"position_pct": 92.0,
"updated_at": "2026-06-24 11:47",
"source": "/home/hmo/stocks/holding.xls"
"source": "/home/hmo/stocks/holding.xls",
"total_assets": 1010675.93
}
data/price_history.json
+5 -5
View File
@@ -108,7 +108,7 @@
"date": "2026-06-24",
"high": 88.32,
"low": 82.78,
"close": 82.82
"close": 82.79
}
],
"00700": [
@@ -1284,7 +1284,7 @@
"date": "2026-06-24",
"high": 68.8,
"low": 65.74,
"close": 65.87
"close": 66.01
}
],
"300548": [
@@ -2316,7 +2316,7 @@
"date": "2026-06-24",
"high": 745.2,
"low": 660.01,
"close": 678.5
"close": 679.95
}
],
"688802": [
@@ -2466,7 +2466,7 @@
"date": "2026-06-24",
"high": 5.38,
"low": 4.86,
"close": 5.16
"close": 5.0
}
],
"688630": [
@@ -2610,7 +2610,7 @@
"date": "2026-06-24",
"high": 52.43,
"low": 49.03,
"close": 49.38
"close": 49.39
}
],
"002171": [
scripts/import_holding_xls.py
+56 -52
View File
@@ -1,19 +1,16 @@
#!/usr/bin/env python3
"""
import_holding_xls.py — 从券商导出文件 holding.xls 导入持仓数据
import_holding_xls.py — 从holding.xls导入持仓到SQLite + portfolio.json
读取 /home/hmo/stocks/holding.xls（TSV格式，GBK编码）
写入 /home/hmo/web-dashboard/data/portfolio.json
触发 per_stock_reassess 全量重评（更新 decisions.json + 决策树）
用法：python3 import_holding_xls.py
用法：python3 import_holding_xls.py [--cash 现金金额]
"""
import csv, json, sys, subprocess
import csv, json, sys, subprocess, sqlite3
from datetime import datetime
STOCKS_FILE = "/home/hmo/stocks/holding.xls"
PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
CASH = 80476 # 现金余额（手动更新或从其他源读取）
DB_PATH = "/home/hmo/web-dashboard/data/mofin.db"
CASH = 80476 # default cash
def clean_cell(v):
@@ -26,6 +23,12 @@ def clean_cell(v):
def main():
# Parse args
global CASH
for i, a in enumerate(sys.argv[1:]):
if a == '--cash' and i + 2 < len(sys.argv):
CASH = float(sys.argv[i + 2])
with open(STOCKS_FILE, 'r', encoding='gbk') as f:
reader = csv.reader(f, delimiter='\t')
rows = list(reader)
@@ -34,73 +37,81 @@ def main():
holdings = []
total_mv_cny = 0
total_pl = 0
for r in rows[1:]:
code = clean_cell(r[0])
name = r[1].strip()
shares = int(clean_cell(r[2]))
avail = int(clean_cell(r[3]))
price_raw = r[4].strip()
currency = 'HKD' if '港币' in price_raw or '港' in r[10] else 'CNY'
price_str = price_raw.replace('港币', '').replace('港元', '').replace('港', '').strip()
price = float(price_str)
cost_price = float(clean_cell(r[5]))
pl = float(clean_cell(r[6]))
pl_pct = float(clean_cell(r[7])) if r[7].strip() else 0.0
mkt_val = float(clean_cell(r[11]))
cost_amount = float(clean_cell(r[15])) if r[15].strip() and r[15].strip() != '--' else 0
rate_str = clean_cell(r[16])
rate = float(rate_str) if rate_str and rate_str != '--' else 0.866
holdings.append({
'code': code,
'name': name,
'shares': shares,
'avail_shares': avail,
'price': price,
'cost_price': cost_price,
'pl': pl,
'pl_pct': pl_pct,
'currency': currency,
'market_val': mkt_val,
'cost_amount': cost_amount,
'exchange_rate': rate,
})
total_pl += pl
mv_cny = mkt_val if currency == 'CNY' else mkt_val * rate
total_mv_cny += mv_cny
holdings.append({
'code': code, 'name': name, 'shares': shares,
'price': price, 'cost_price': round(cost_price, 2),
'currency': currency, 'market_val': mkt_val,
'cost_amount': cost_amount, 'exchange_rate': rate,
})
pfx = 'HK$' if currency == 'HKD' else '￥'
print(f" {code} {name} {shares}股 {pfx}{price:.2f} 盈亏{pl:+,.0f}({pl_pct:+.1f}%)")
print(f" {code} {name} {shares}股 {pfx}{price:.2f} 成本{cost_price:.2f} 盈亏{pl:+,.0f}({pl_pct:+.1f}%)")
total_assets = total_mv_cny + CASH
position_pct = round(total_mv_cny / total_assets * 100, 1) if total_assets > 0 else 0
position_pct = round(total_mv_cny / total_assets * 100, 2) if total_assets > 0 else 0
# Write portfolio.json
portfolio = {
'holdings': holdings,
'cash': CASH,
'total_market_value': round(total_mv_cny, 2),
'total_pl': round(total_pl, 2),
'total_assets': round(total_assets, 2),
'total_pl': 0,
'position_pct': position_pct,
'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M'),
'source': STOCKS_FILE,
}
with open(PORTFOLIO_PATH, 'w') as f:
json.dump(portfolio, f, indent=2, ensure_ascii=False)
print(f" → {PORTFOLIO_PATH}")
print(f"\n已写入 {len(holdings)} 只持仓")
print(f"A股: {sum(1 for h in holdings if h['currency']=='CNY')} | 港股: {sum(1 for h in holdings if h['currency']=='HKD')}")
print(f"总市值: {round(total_mv_cny):,.0f}元 | 现金: {CASH:,}元")
print(f"总资产: {round(total_assets):,.0f}元 | 仓位: {position_pct}%")
print(f"累计盈亏: {round(total_pl):+,}元")
# Write SQLite
conn = sqlite3.connect(DB_PATH)
c = conn.cursor()
c.execute('DELETE FROM holdings')
c.execute('DELETE FROM portfolio_summary')
for h in holdings:
pos_pct = round(h['market_val'] / total_assets * 100, 2) if total_assets > 0 else 0
c.execute('''
INSERT INTO holdings (code, name, shares, cost, position_pct, added_at, is_active)
VALUES (?, ?, ?, ?, ?, ?, 1)
''', (h['code'], h['name'], h['shares'], h['cost_price'], pos_pct,
datetime.now().strftime('%Y-%m-%d')))
c.execute('''
INSERT INTO portfolio_summary (total_assets, stock_value, cash, position_pct, total_pnl, updated_at)
VALUES (?, ?, ?, ?, ?, ?)
''', (round(total_assets, 2), round(total_mv_cny, 2), CASH, position_pct, 0,
datetime.now().strftime('%Y-%m-%d %H:%M')))
conn.commit()
conn.close()
print(f" → SQLite 已更新")
# 触发策略重评
print(f"\n统计: {len(holdings)}只持仓 | "
f"总资产{round(total_assets):,.0f}元 | "
f"现金{CASH:,.0f}元 | "
f"仓位{position_pct}%")
# Trigger full reassessment
print("\n→ 触发 per_stock_reassess 全量重评...")
r = subprocess.run(
["python3", "/home/hmo/.hermes/profiles/position-analyst/scripts/per_stock_reassess.py"],
@@ -108,7 +119,7 @@ def main():
)
print(r.stdout[-500:] if len(r.stdout) > 500 else r.stdout)
# 重建决策树
# Rebuild decision trees
print("\n→ 重建决策树...")
sys.path.insert(0, '/home/hmo/web-dashboard')
from strategy_tree import init_default_branches
@@ -117,21 +128,14 @@ def main():
ok = 0
for e in data.get('decisions', []):
branches = init_default_branches(
e.get('code', ''),
e.get('name', ''),
e.get('entry_low', 0),
e.get('entry_high', 0),
e.get('stop_loss', 0),
e.get('take_profit', 0),
)
e['strategy_tree'] = {
'branches': branches,
'created_at': datetime.now().strftime('%Y-%m-%d'),
}
e.get('code', ''), e.get('name', ''),
e.get('entry_low', 0), e.get('entry_high', 0),
e.get('stop_loss', 0), e.get('take_profit', 0))
e['strategy_tree'] = {'branches': branches, 'created_at': datetime.now().strftime('%Y-%m-%d')}
ok += 1
with open('/home/hmo/web-dashboard/data/decisions.json', 'w') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"决策树重建完成: {ok}/{len(data.get('decisions',[]))}")
print(f"决策树重建: {ok}/{len(data.get('decisions',[]))}")
if __name__ == '__main__':
scripts/stale_detector.py
+244
View File
@@ -0,0 +1,244 @@
#!/usr/bin/env python3
"""stale_detector.py — 检查所有策略，标记价格偏离/过期的策略
读取 decisions.json 的扁平列表。自选策略和持仓策略分开判断。
可被 cron no_agent 模式调用：stdout 注入到后续 LLM 分析。
输出格式：
[FLAG] [自选/持仓] 股票名(代码) 价XX | 买入A~B | 问题
用法：
python3 stale_detector.py
"""
import json
import sys
import os
from datetime import datetime, timezone
DECISIONS_PATH = "/home/hmo/web-dashboard/data/decisions.json"
PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
def fetch_prices(codes):
import urllib.request
if not codes:
return {}
symbols, code_map = [], {}
for c in codes:
c = str(c).strip()
p = "sh" if (len(c) == 6 and c[0] in "569") else "sz" if len(c) == 6 else "hk"
sym = f"{p}{c}"
symbols.append(sym)
code_map[sym] = c
try:
req = urllib.request.Request(
f"http://qt.gtimg.cn/q={','.join(symbols)}",
headers={"User-Agent": "curl/7.81"},
)
with urllib.request.urlopen(req, timeout=10) as r:
text = r.read().decode("gbk")
except Exception as e:
print(f"FETCH_FAIL: {e}", file=sys.stderr)
return {}
results = {}
for line in text.strip().split("\n"):
if "=" not in line:
continue
try:
raw = line.split("=", 1)[1].strip().strip('"').strip(";")
fld = raw.split("~")
if len(fld) < 6:
continue
sym = line.split("=", 1)[0].strip().lstrip("v_")
oc = code_map.get(sym)
if not oc:
continue
p = float(fld[3]) if fld[3] else 0
c = fld[32] if len(fld) > 32 else "0"
results[oc] = (p, c)
except (ValueError, IndexError):
continue
return results
def main():
decisions_list = json.load(open(DECISIONS_PATH))
if not isinstance(decisions_list, list):
decisions_list = decisions_list.get("decisions", []) if isinstance(decisions_list, dict) else []
# 只保留有买入区的条目，排除已关闭的（inactive/closed）
EXCLUDED_STATUSES = ("closed", "inactive")
to_check = [d for d in decisions_list if (d.get("entry_low") is not None or d.get("entry_high") is not None) and d.get("status") not in EXCLUDED_STATUSES]
if not to_check:
print("[SILENT] 无需要检查的策略")
return 0
# ----- 组合级监测：读取总仓位 + 弱势比例 -----
position_pct = 0
cash = 0
total_assets = 0
try:
with open(PORTFOLIO_PATH) as f:
pf = json.load(f)
position_pct = pf.get("position_pct", 0)
cash = pf.get("cash", 0)
total_assets = pf.get("total_assets", 0)
except Exception:
pass
# 统计持仓策略中弱势/深套的比例
weak_count = 0
holding_count = 0
for d in decisions_list:
if d.get("type") == "持仓策略" and d.get("status") not in ("closed", "inactive"):
holding_count += 1
cat = d.get("stock_category", "")
if cat in ("弱势", "深套"):
weak_count += 1
weak_ratio = (weak_count / holding_count * 100) if holding_count > 0 else 0
prices = fetch_prices([d["code"] for d in to_check])
now = datetime.now(timezone.utc).astimezone()
found = 0
for d in to_check:
code = d["code"]
name = d.get("name", code)
el = d.get("entry_low")
eh = d.get("entry_high")
sl = d.get("stop_loss")
tp = d.get("take_profit")
ts = d.get("created_at") or d.get("timestamp") or d.get("updated_at", "")
is_wl = "自选" in (d.get("type", ""))
pi = prices.get(code)
if not pi:
continue
price, chg = pi
if price <= 0:
continue
issues, flags = [], []
tag = "[自选]" if is_wl else "[持仓]"
# -- 偏离 --
if is_wl and el and eh:
# 读取 timing_signal 判断策略有效性（timing_signal 字段优先，fallback to action）
current_str = d.get("current", "") or ""
timing_signal = d.get("timing_signal", "") or current_str
has_nonbuy_signal = any(kw in timing_signal for kw in [
"等企稳再入", "等企稳", "弱势持有", "观望",
"不建议买入", "谨慎买入",
])
# 直接计算 R/R（不依赖文本匹配）
rr_invalid = False
if sl and sl > 0 and tp and tp > 0 and price > sl:
rr = (tp - price) / (price - sl)
if rr < 1.5:
rr_invalid = True
# 也检查 tp 是否接近或低于成本（微盈/浮亏止盈）
cost = d.get("cost", 0)
if cost and cost > 0 and tp <= cost * 1.05:
rr_invalid = True
strategy_deficient = has_nonbuy_signal or rr_invalid
# 对自选无止盈位的也标记（策略不完整）
if not tp or tp == 0:
strategy_deficient = True
if el <= price <= eh:
flags.append("[WL_IN]")
if strategy_deficient:
flags.append("[STRATEGY_STALE]")
prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
issues.append(f"[STRATEGY_STALE] {prefix}价{price:.2f}在买入区{el}~{eh}但策略不完整（{'RR='+f'{rr:.2f}<1.5' if rr_invalid else '无止盈位' if not tp else '非买入信号'}），买入区需重评")
else:
prefix = "⚠️仓位挤占 " if position_pct > 80 else ""
issues.append(f"[PUSH] {prefix}价{price:.2f}入买入区{el}~{eh}")
elif price > eh * 1.35:
flags.append("[WL_HIGH]")
issues.append(f"价{price:.2f}高出买入区+{((price/eh)-1)*100:.0f}%，买入区需重评")
elif price > eh * 1.20:
flags.append("[WL_DRIFT]")
issues.append(f"价{price:.2f}高于买入区+{((price/eh)-1)*100:.0f}%")
elif not is_wl and eh:
dp = (price / eh - 1) * 100
if dp > 35:
flags.append("[SEVERE]")
issues.append(f"偏离买入区上沿+{dp:.0f}%")
elif dp > 20:
flags.append("[DRIFT]")
issues.append(f"偏离买入区上沿+{dp:.0f}%")
elif dp > 10:
flags.append("[WARN]")
issues.append(f"偏离买入区上沿+{dp:.0f}%")
# 持仓在买入区内但 R/R 不达标
if el and sl and sl > 0 and tp and tp > 0 and price > sl:
if el <= price <= eh:
rr = (tp - price) / (price - sl)
if rr < 1.5:
flags.append("[RR_WARN]")
issues.append(f"买入区内RR仅{rr:.2f}<1.5，策略需重评")
# -- 距止损/止盈（仅持仓） --
if not is_wl:
if sl and sl > 0:
dsl = (price / sl - 1) * 100
if dsl < 5:
flags.append("[NEAR_SL]")
issues.append(f"距止损仅{dsl:.1f}%")
if tp and tp > 0:
dtp = (tp / price - 1) * 100
if dtp < 5:
# 成本基准校验：止盈标记只有在盈利≥5%时才有效
cost_check = True
cost = d.get("cost")
if cost and cost > 0 and price < cost * 1.05:
cost_check = False
if cost_check:
flags.append("[NEAR_TP]")
issues.append(f"距止盈仅{dtp:.1f}%")
# -- 过期 --
stale_limit = 30 if is_wl else 14
if ts:
try:
ud = datetime.fromisoformat(ts)
if ud.tzinfo is None:
ud = ud.replace(tzinfo=timezone.utc)
days = (now - ud).days
if days > stale_limit:
flags.append("[STALE]")
issues.append(f"{days}天未更新(>{stale_limit})")
except (ValueError, TypeError):
pass
if issues:
print(f"{' '.join(flags)} {tag} {name}({code}) 价{price:.2f}{chg} | 买入{el}~{eh} | {'; '.join(issues)}")
found += 1
if found == 0:
print("[SILENT] 所有策略正常")
# ----- 组合级警报 -----
portfolio_alerts = 0
if holding_count > 0:
if weak_ratio > 40:
print(f"\n[PORTFOLIO_WEAK] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})！仓位{position_pct:.1f}% → 建议系统性减仓")
portfolio_alerts += 1
elif weak_ratio > 30:
print(f"\n[PORTFOLIO_WEAK_MILD] 组合弱势比例{weak_ratio:.0f}% ({weak_count}/{holding_count})，仓位{position_pct:.1f}%，关注")
portfolio_alerts += 1
if position_pct > 80 and holding_count > 0:
# 仓位过满提醒
print(f"[PORTFOLIO_FULL] 总仓位{position_pct:.1f}% > 80%，现金{cash:.0f}({cash/total_assets*100:.1f}%)")
portfolio_alerts += 1
if portfolio_alerts > 0:
found += portfolio_alerts
return found
if __name__ == "__main__":
main()