더 나은 거래 및 투자 결정을 위한 AI 기술.

trading-skills는 휴대용, 기능 첫 번째 컬렉션의 에이전트 도구에 대한 SKILL.md 패키지입니다. 상인과 투자자가 더 명확하게 생각하고, 더 나은, 크기 클리너를 준비하고, 위험을 더 명시적으로 관리하고, 검토 의사는 통찰력 극장을 방해합니다.

포인트는 마술 신호를 생성하지 않습니다. 포인트는 AI 구조를 주는 것입니다: 더 나은 무역 prep, 더 나은 위험 과정, 더 나은 실행 계획, 및 더 나은 포스트 무역 학습.

핵심 라이브러리는 분석입니다. 선택적 인 통합은 기본 분석 워크플로우를 변경하지 않고 별도의 공급자별 기술로 앉아있을 수 있습니다.

이 repo가 작업 흐름을 돕는 경우, 별.

여기에 시작

시작하지 않은 경우:

• 새로운 무역 아이디어와 원 이동 / 이동 워크플로우: pre-trade-check
• 다가오는 보고서를 준비: earnings-trade-prep
• 너무 많은 이름과 필요 triage: watchlist-review
• 실제 청구를 압력 테스트해야 : thesis-validation
• 계획이 실행되는 경우에도 확인해야합니다 : execution-plan-check
• 거래 보수적으로 크기 필요 : position-sizing]

Trading Skills

AI skills for better trading and investing decisions.

trading-skills is a portable, capability-first collection of SKILL.md packages for agent tools. It helps traders and investors think more clearly, prepare better, size cleaner, manage risk more explicitly, and review decisions without hindsight theater.

The point is not to generate magic signals. The point is to give AI structure: better trade prep, better risk process, better execution planning, and better post-trade learning.

The core library is analysis-first. Optional live-trade integrations can sit alongside it as separate, provider-specific skills without changing the default analytical workflows.

If this repo helps your workflow, star it.

Start Here

If you are not sure where to begin:

• New trade idea and want one go / no-go workflow: pre-trade-check
• Preparing around an upcoming report: earnings-trade-prep
• Too many names and need triage: watchlist-review
• Need to pressure-test the actual claim: thesis-validation
• Need to check if the plan is even tradable: execution-plan-check
• Need to size the trade conservatively: position-sizing
• Need to review portfolio overlap before adding: portfolio-risk-review
• Managing an open position: position-management
• Reviewing a closed trade: post-trade-debrief

Why Trading Skills

Generic AI gives you words. Trading and investing require process.

This repo is built to improve the parts of decision-making that actually matter:

• Better prep: identify what matters before the trade, not after it.
• Better risk control: make invalidation, structure, concentration, and sizing explicit.
• Better execution discipline: separate a good idea from an executable plan.
• Better review quality: turn journals and post-mortems into repeatable improvements.
• Better trust: disclose assumptions, source quality, and missing information instead of pretending certainty.

This is especially useful if you already use AI but want less confident prose and more rigorous thinking.

How It Works

The repo contains three useful layers:

• Groups: browsing categories such as market context, idea discovery, and review
• Atomic skills: reusable capabilities such as thesis-validation, risk-reward-sanity-check, or position-sizing
• Workflow skills: wrappers such as pre-trade-check and post-trade-debrief that chain the minimum necessary atomic skills

The default usage pattern is simple:

1. Start from the user’s actual context.
2. Run the smallest skill or workflow that fits the job.
3. Carry forward a compact trade context, not a pile of chat history.
4. Use external data only when the user’s material is not enough.
5. Keep trust high by disclosing what is known, assumed, and missing.