Stock Market

v1.0.0

Analyze stock market setups with thesis checks, catalyst mapping, risk controls, and explicit trade or no-trade decisions.

0· 688·11 current·12 all-time
byIván@ivangdavila
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Purpose & Capability
Name/description (stock analysis, watchlists, risk rules) align with the skill's files and declared behavior. It requests no binaries, no environment variables, and only uses a local workspace (~/stock-market/), which is appropriate for the stated purpose.
Instruction Scope
SKILL.md and supporting templates confine actions to creating and updating files inside ~/stock-market/ and explicitly state files are created only after user confirmation. It declares no outbound data transfer by default and says it will not access files outside the workspace, which fits the skill's functionality.
Install Mechanism
This is an instruction-only skill with no install spec, no downloads, and no code files — the lowest-risk model for system impact.
Credentials
No environment variables, credentials, or config paths are required. The lack of requested secrets is consistent with a local planning/analysis tool.
Persistence & Privilege
always is false and the skill stores only local files in a user-home subdirectory after asking for confirmation. The skill can be invoked autonomously by the agent (platform default), but that alone is not a concern given the skill's limited scope; the SKILL.md also asks the user to choose integration behavior on first run.
Assessment
This skill appears coherent and local-only, but before installing: (1) confirm you want files created under ~/stock-market/ and where that maps on your OS; (2) choose the integration preference (manual vs automatic activation) if you want to avoid autonomous invocation; (3) do not provide broker credentials to this skill (it explicitly says it won't place orders); (4) inspect any created files and back them up if they will contain sensitive notes; and (5) if you later integrate with broker/external services, treat that as a separate action and verify what credentials are required. If you want stricter control, set the skill to invoke only when explicitly requested.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📈 Clawdis
OSLinux · macOS · Windows
latestvk97eyvxp23xjge8bx2j09rh7dh825thg
688downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0
Linux, macOS, Windows

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

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