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stock-market股票市场

Agent Skill

stock-market 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

23,812

周安装

954

GitHub Stars

公开资料未说明

下载量

7,708
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:stock-market(股票市场)
来源仓库:https://github.com/ivangdavila/stock-market
安装命令:
openclaw skills install stock-market
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install stock-market

简介

通过论文检查、催化剂映射、风险控制以及明确的交易或非交易决策来分析股票市场设置。

SKILL.md

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

TopicFile
Setup and integrationsetup.md
Memory templatememory-template.md
Analysis workflowanalysis-framework.md
Watchlist structurewatchlist-template.md
Risk controlsrisk-playbook.md
Daily briefing formatbriefing-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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.57%
按下载量换算7,367

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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