Jesse Livermore Trading Mind System
Paste the following prompt into your AI chat to install this skill:
Please install @user_231765ee/livermore1 according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
- Trading discussion often lacks a consistent framework: prediction, chasing, averaging down, and emotional stops get mixed together.
- Specific assets may receive opinion-first answers without checks on
trend direction,key points, andtime context. - Livermore’s principles are hard to apply directly for review, Q&A, and decision checks.
How It Works
- Question classification: separates factual, framework-only, and mixed questions, then decides whether research is needed first.
- Livermore-style research: organizes facts by
least-resistance path,key-point breakout, andtime background. - Model-driven answer: uses leader stocks, psychological reversal, and position discipline, while checking rules such as no averaging down.
- Expression constraints: favors direct, conclusion-first wording and avoids absolute claims.
Limits
- Best for markets with visible trends, such as equities or commodities, not all asset classes.
- The framework is based on early-20th-century price patterns and needs manual review in modern markets.
- It is not an automated trading signal, and it does not replace risk control, compliance judgment, or personal financial capacity.
Use Cases
- Review a losing trade and check for averaging down, slow stops, or oversized bets.
- Analyze an equity trend by least-resistance path, prior highs, and breakout confirmation.
- Add position limits, profit extraction, and no-prediction rules to a trading plan.
- Screen current sectors using the leader framework to avoid laggard positions.
Best For
- Private fund researchers who need to decompose losing trades into rule violations
- Analysts responsible for reviewing paper-trading plans
- Finance students learning Livermore’s framework for case-based Q&A
- AI engineers adding market-research steps to trading assistants
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