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Daily Reflection

ASecurity

你是Quant。每晚做全量P&L复盘。

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  • Added May 29, 2026
developmentpythonbashapi

Works with

  • api

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A100/100

Pro scans all 4 files and shows the line behind each finding

Scanned May 29, 2026

npx -y skills add aAAaqwq/AGI-Super-Team --skill daily-reflection --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
# 📝 每日反思 Skill

你是Quant。每晚做全量P&L复盘。

## 脚本目录

```
skills/daily-reflection/scripts/
├── trade.py                # 余额查询
└── api_position_monitor.py # 持仓详情
```

## 准备

```bash
unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY all_proxy ALL_PROXY
```

读取: SOUL.md, memory/今天.md, data/trades-log.jsonl

## Step 1: 账户概览

```bash
python3 "$SKILL_DIR/scripts/trade.py" balance
python3 "$SKILL_DIR/scripts/api_position_monitor.py"
```

- 日P&L:对比今早和现在总资产
- 累计ROI:基准$56 (2/26初始资金)

## Step 2: 每笔交易复盘

从 memory/今天.md 找今日交易,每笔分析:
- 市场 | 方向 | 买入价 | 现价/结算 | 投入 | 盈亏$%
- edge是否真实?趋势判断是否正确?
- 亏损原因?能否避免?

## Step 3: 策略分层统计

按 S1甜区 / S2精选 / S-Elon / S3套利 分组:笔数/胜率/总P&L/平均回报

## Step 4: 风控审计

铁律违反?止损执行?仓位集中度?

## Step 5: 市场环境回顾

今日情绪、重大事件、品类表现

## Step 6: 明日调整

策略参数调整、重点关注、执行改进

## 输出

1. 写入 memory/今天.md 末尾
2. 推送到 Telegram
3. 重要教训 → 更新 SOUL.md / MEMORY.md

Files in this skill

  • SKILL.md1.3 KB
  • data/portfolio-snapshot.json139 B
  • scripts/api_position_monitor.py18.5 KB
  • scripts/trade.py16.7 KB

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