
Sepa Strategy
This implements Mark Minervini's SEPA methodology for analyzing growth stock entries. It walks through stage analysis (only buy Stage 2), the eight-condition trend template (MA alignment, price position, relative strength), fundamental screens (EPS growth, acceleration, margins), and pattern recognition with a focus on VCP (Volatility Contraction Pattern). The skill guides position sizing and strict entry rules: breakouts above pivot points with 1.5x average volume, buy zone limited to 5% above pivot. Useful when evaluating swing trade setups or analyzing whether a stock meets superperformance criteria. It's comprehensive but opinionated, which is the point. Works best if you have access to market data tools since it needs MA values, volume, and fundamental metrics.
- skills.sh installs
- 3.2K
- GitHub stars
- 3.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add himself65/finance-skills --skill sepa-strategy --agent claude-codeInstalls into .claude/skills of the current project.
Files
SEPA Strategy Analysis
Analyze stocks using Mark Minervini's SEPA (Specific Entry Point Analysis) framework — a complete system for identifying high-probability growth stock entries with strict risk management.
Core philosophy: Buy the right stock, in the right stage, at a precise entry point, with strict risk controls. Win rate is ~50-55% — profitability comes from asymmetric risk/reward (small losses, large gains), not from predicting direction.
This skill is for educational/analytical purposes only. It does not constitute investment advice. Never execute trades based solely on this analysis.
Step 1: Gather Stock Data
Collect the following data for the stock. Use yfinance or any available market data tool.
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Details
- Repository
- github.com/himself65/finance-skills
- Categories
- Code Review & Quality, Finance & Trading
- First seen
- Jun 3, 2026
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