agentsclimarketplace

Daily reflection

Skill aAAaqwq/AGI-Super-Team/skills/daily-reflection

14 AI executives powered by legendary minds (Musk/Buffett/Simons/Feynman) — deploy your virtual C-Suite in one git clone.From the repository description

Install
npx -y skills add aAAaqwq/AGI-Super-Team --skill daily-reflection

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 500 tokens by cl100k_base, as published. Nobody here has run it

📝 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

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

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

What ships with it: 3 files

35.3 KB alongside SKILL.md, 2 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.