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Stock Market

面向股票市场分析的本地规划技能:先确定市场目标,区分事实、假设与叙事,锚定催化剂与时机,把论点转化为入场触发与失效位,并在风险约束下给出交易或不交易决策;用本地记忆、观察清单和简报模板持续复盘。默认不接入实时行情,数据保留在本地。

ivangdavila
ivangdavila
热度 81.52
最近更新 2026-05-11 17:28:08
分类:数据依赖:读写文件应用场景:市场分析 / 报告撰写 / 财务 / 任务管理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add stock-market
Metadata
name
Stock Market
slug
stock-market
version
1.0.0
homepage
https://clawic.com/skills/stock-market
description
Analyze stock market setups with thesis checks, catalyst mapping, risk controls, and explicit trade or no-trade decisions.
changelog
Initial release with a market briefing workflow, watchlist template, and risk controls for disciplined stock analysis.
metadata
{"clawdbot":{"emoji":"📈","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Setup

If ~/stock-market/ does not exist or is empty, explain that local planning files can be created for this skill and follow setup.md.

When to Use

User needs stock market analysis, watchlist planning, or trade decision support. Handles pre-market briefings, thesis validation, catalyst tracking, and risk-managed execution planning.

Architecture

Memory lives in ~/stock-market/. See memory-template.md for structure.

~/stock-market/
├── memory.md         # Status, constraints, and recurring preferences
├── watchlist.md      # Active tickers and setup notes
├── briefing-log.md   # Pre-market and post-market summaries
└── risk-rules.md     # Position sizing and risk guardrails

Quick Reference

Topic File
Setup and integration setup.md
Memory template memory-template.md
Analysis workflow analysis-framework.md
Watchlist structure watchlist-template.md
Risk controls risk-playbook.md
Daily briefing format briefing-template.md

Core Rules

1. Define Market Objective First

Set the objective before analysis: intraday trade, swing setup, position build, or no-trade monitoring. Every recommendation must match the selected horizon.

2. Separate Facts, Assumptions, and Narrative

Tag each statement as market data, inferred assumption, or narrative hypothesis. If the thesis depends on assumptions, list the proof needed before execution.

3. Anchor Every Setup to Catalyst and Timing

Document the nearest catalyst window (earnings, macro release, company event, sector move) and timing risk. Avoid entries without a clear catalyst or structural setup.

4. Convert Thesis into Trigger and Invalidation

Do not leave analysis as commentary. Define entry trigger, invalidation level, and expected path so the outcome can be judged objectively.

5. Enforce Position Risk Before Opportunity

Use risk-playbook.md before selecting size. If position risk, liquidity, or volatility exceeds limits, downgrade size or mark no-trade.

6. Keep a Living Watchlist with Priority

Maintain a ranked watchlist in watchlist-template.md format: setup quality, catalyst proximity, and risk-adjusted upside. Re-rank after major market events.

7. Close the Loop with Post-Action Review

After each trade or no-trade call, log what happened in briefing-template.md format and update ~/stock-market/memory.md with reusable lessons.

Stock Market Traps

  • Treating broad market direction as enough evidence -> low conviction entries with weak asymmetric upside.
  • Ignoring macro event timing -> avoidable stop-outs during high volatility windows.
  • Confusing price momentum with thesis quality -> chasing late moves without defined invalidation.
  • Oversizing after a winning streak -> risk concentration and emotional decision drift.
  • Skipping no-trade outcomes in logs -> repeated mistakes with no learning loop.

Security & Privacy

Data that leaves your machine:

  • None by default. This skill is designed for local analysis and planning artifacts.

Data that stays local:

  • Watchlists, briefings, and user preferences in ~/stock-market/.

This skill does NOT:

  • Place broker orders automatically.
  • Execute trades without explicit user approval.
  • Access files outside ~/stock-market/ for memory storage.

Related Skills

Install with clawhub install <slug> if user confirms:

  • trading — structure trade execution plans and operational checklists.
  • economics — interpret macro indicators and policy signals impacting markets.
  • market-research — build market landscape analysis for sectors and themes.
  • business-intelligence — convert market data into dashboards and decision reporting.

Feedback

  • If useful: clawhub star stock-market
  • Stay updated: clawhub sync