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ndtchan

Trade Decision Policy

by Nguyễn Đức Thành · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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Install in OpenClaw
/install trade-decision-policy
Description
Use when stock research, valuation, portfolio analytics, and risk outputs must be converted into structured Vietnam equity recommendation labels, target weig...
README (SKILL.md)

Trade Decision Policy

Purpose

Use this skill as the final decision-policy layer for Vietnam equity recommendations. It converts upstream evidence into structured BUY, ADD, HOLD, TRIM, or EXIT labels and portfolio action drafts.

Scope

  • Vietnam listed equities.
  • Portfolio action drafts.
  • Target weights and maximum weights.
  • Confidence, invalidation, and data-gap disclosure.
  • User approval requirement before target-state mutation.

Non-goals

  • Do not place broker orders.
  • Do not call broker APIs.
  • Do not execute trades.
  • Do not treat an approved target portfolio state as an executable order.
  • Do not update approved target portfolio state without explicit user approval.

Input Contract

Required inputs:

  • ticker
  • exchange
  • research_summary
  • valuation_view
  • earnings_quality_view
  • portfolio_risk_view
  • current_weight_pct
  • risk_budget
  • compliance_context

Optional inputs:

  • liquidity_view
  • macro_view
  • news_view
  • backtest_view
  • data_gaps

Decision Labels

  • BUY: initiate a new position when evidence is strong, valuation is attractive, risk budget allows it, and liquidity is acceptable.
  • ADD: increase an existing position when the thesis remains valid and target weight remains within risk limits.
  • HOLD: keep target weight unchanged when evidence is balanced or action is not justified.
  • TRIM: reduce target weight when risk, valuation, concentration, or thesis quality has weakened.
  • EXIT: reduce target weight to zero when the thesis is invalidated or compliance/risk constraints require removal.

Required Output

Return a structured object with:

  • ticker
  • exchange
  • decision_label
  • current_weight_pct
  • target_weight_pct
  • max_weight_pct
  • confidence
  • reason
  • invalidation_condition
  • risk_check_status
  • compliance_check_status
  • data_gaps
  • requires_user_confirmation
  • broker_execution_allowed

requires_user_confirmation must be true.

broker_execution_allowed must be false unless a separate future execution policy explicitly enables broker integration.

Guardrails

  • Separate facts, assumptions, and inference.
  • Cap confidence at Medium when critical financial statements, liquidity data, or portfolio weights are missing.
  • Return HOLD when evidence is insufficient for an active change.
  • Return TRIM or EXIT only with explicit risk, valuation, compliance, or thesis-invalidation reasoning.
  • Never imply that a recommendation is a real order.
  • Never mutate D1 approved target state directly; return an action draft for approval-gated governance processing.
Capability Tags
crypto
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trade-decision-policy
  3. After installation, invoke the skill by name or use /trade-decision-policy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release: Defines the final decision-policy process for Vietnam equity recommendations. - Translates research and portfolio analytics into structured recommendation labels (`BUY`, `ADD`, `HOLD`, `TRIM`, `EXIT`) with explicit target and max weights. - Requires user approval before any target state change; never enables direct broker execution. - Enforces guardrails for data gaps, risk/compliance checks, and separates evidence from inference. - Outputs all decisions as actionable drafts, not executable orders, maintaining approval-gated portfolio governance.
Metadata
Slug trade-decision-policy
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Trade Decision Policy?

Use when stock research, valuation, portfolio analytics, and risk outputs must be converted into structured Vietnam equity recommendation labels, target weig... It is an AI Agent Skill for Claude Code / OpenClaw, with 32 downloads so far.

How do I install Trade Decision Policy?

Run "/install trade-decision-policy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Trade Decision Policy free?

Yes, Trade Decision Policy is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Trade Decision Policy support?

Trade Decision Policy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Trade Decision Policy?

It is built and maintained by Nguyễn Đức Thành (@ndtchan); the current version is v1.0.0.

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