skills.rest
luobangkui
luobangkuiCOMMUNITY
Explore all skills by this author →
GitHub

trade-baseline-review

Collect and synthesize market baselines and trade operations into structured decision narratives.

Updated Apr 14, 2026
Search Tags:#automation#retrospective#baseline#risk-assessment#log-management#market-snapshot#period-review
One-click install
npx skills add https://github.com/luobangkui/trade-line --skill trade-baseline-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-baseline-review
Source: https://github.com/luobangkui/trade-line/tree/main
Command: npx skills add https://github.com/luobangkui/trade-line --skill trade-baseline-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trade Baseline v2复盘工作助手技能（精简入口版）。Agent 可通过本 skill 完成完整复盘闭环： (1) 同步市场客观基线；(2) 记录交易操作并自动评估； (3) 自动聚合日/周/月复盘 + 历史模式洞察；(4) 写入独立复盘日志报告； (5) 在编辑覆盖 / 重新聚合 / 清空重推 / 单条删除多接口间正确选择； (6) 写入「明日交易计划 + 风险评估卡」把复盘转成事前评估和建议（计划标的 / 仓位档位 / 高风险动作 / 注意信号），不强制下单； (7) 盘中买入风险评估：拉外部行情 / 历史走势并结合次日交易计划 + 风险评估卡 + 战法，输出 REJECT/WAIT/ALLOW_SMALL/ALLOW 四档建议； (8) 管理"下一交易日交易计划"、持仓计划卡和"风险信号"检测，把手动交易纳入评估和复盘闭环； (9) 内置聊天通道（OpenAI 兼容）+ 只读工具，agent 可在面板里直接调内部 API / 行情 / skill 文档。 详细 SOP 与接口手册按需读取 skill/ 子目录下对应文件。 BASE_URL 默认生产地址 http://vzil1451410.bohrium.tech:50001。

Core Features & Use Cases

  • Synchronous baseline alignment: Sync objective market baseline and futureEvent data, enabling consistent contextual grounding for retrospectives.
  • Operation logging and automated evaluation: Record trades and automatically evaluate them against baseline signals and emotion metrics.
  • Automatic period aggregation & insights: Auto-generate daily/weekly/monthly retrospectives with historical pattern insights.
  • Independent retrospective logs: Write standalone journals and period reports for long-term traceability.
  • Editable/override/reset features: Support editing overrides, re-aggregation, and full reset workflows without data loss.
  • Pre-trade planning integration: Write next-day plans and risk cards to convert retrospectives into pre-trade guidance (targets, position ranges, risk signals).
  • In-incident risk eval: During trades, incorporate external行情 + history signals to output four-tier risk suggestions (REJECT/WAIT/ALLOW_SMALL/ALLOW).
  • Coordinated task management: Manage position plans and risk signals to harmonize manual trades into the retrospective loop.
  • Built-in chat + read-only tools: OpenAI-compatible chat with internal tools to fetch APIs,行情, and skill docs.
  • 详细 SOP 与接口文档在 skill/ 子目录中按需读取，方便扩展和维护。

Quick Start

Trigger baseline input and start the first daily/weekly review to seed the retrospectives.

Quick Start

Trigger baseline input and start the first daily/weekly review to seed the retrospectives.

Frequently Asked Questions about trade-baseline-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate trading retrospectives with market baseline data?▼

Automated trading retrospectives sync objective market baselines and event data, then aggregate daily, weekly, and monthly operations to generate structured decision narratives and historical pattern insights.

What is the best way to generate pre-trade risk assessments from historical trade logs?▼

Pre-trade risk assessment generation converts historical retrospectives into next-day plans and risk cards, outputting four-tier suggestions (REJECT, WAIT, ALLOW_SMALL, ALLOW) by combining external market snapshots with tactical history.

Can I re-aggregate or delete specific entries in automated period reviews without data loss?▼

Automated period reviews support non-destructive appends, editing overrides, re-aggregation, and single-entry deletion across API interfaces, ensuring standalone journal reports retain long-term traceability without data loss.

How do I log trading operations and evaluate them against market signals?▼

Trading operation logging records trades and automatically evaluates them against synced baseline signals and emotion metrics, appending data explicitly tagged with source information for independent retrospective logs.

Does the baseline review skill support built-in chat for fetching market snapshots and API documentation?▼

A built-in OpenAI-compatible chat channel provides read-only tools to fetch internal APIs, real-time market data, and skill documentation, allowing agents to query operational context directly within the review panel.

What limitations exist when managing manual trades within an automated retrospective loop?▼

Managing manual trades in the retrospective loop coordinates position plans and risk signals but does not force order execution, limiting its scope to pre-incident evaluation and post-trade journaling rather than automated order routing.

Related Skills

Explore More Data & Analytics Skills→
Rycen7822Rycen7822
2

idea

Generate 2-3 literature-grounded research directions with rationale and seed outlines.

Community
Advanced
IhsanDanish25IhsanDanish25
2

trade-performance-coach

Review closed trade records and journal entries to generate structured coaching feedback.

Community
Advanced
shreed27shreed27

predictit

Search and retrieve market details from the PredictIt API.

Community
Basic
SerendipityOneIncSerendipityOneInc
61

amazon-analysis

Aggregate Amazon product research data across 14 selection modes.

Official
Advanced