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Agent skill

Sepa Strategy

by himself65 in himself65/finance-skills

Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries…

MITAuto-check passedBusiness, Finance & HR

Install Sepa Strategy

skills CLI
$ npx skills add himself65/finance-skills --skill sepa-strategy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install himself65/finance-skills sepa-strategy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/market-analysis/skills/sepa-strategy .claude/skills/sepa-strategy && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sepa-strategy
GitHub stars
3.4k
Token cost
~3.2k tokens
SKILL.md length
1,590 words
Files
9 (incl. references)
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries…

  • Works in 9 steps: Gather Stock Data → Stage Analysis — Identify the Current… → Trend Template — 8 Mandatory Conditions → …
  • The user mentions SEPA
  • SKILL.md covers Step 1: Gather Stock Data, Step 2: Stage Analysis —…, Step 3: Trend Template — 8… and Step 4: Fundamental Check, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sepa Strategy is an agent skill from himself65/finance-skills. Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries, market environment, and risk-based position sizing. Use this skill whenever the user mentions SEPA, Minervini, superperformance, the trend template, VCP (volatility contraction pattern), Stage 2, pivot or breakout entries, moving-average stacking (price above the 50/150/200-day MAs), breakout volume, position sizing…

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `README.md`, `references/entry-rules.md` and `references/fundamentals.md`).

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: A collection of skills for AI financial analysis. The licence is MIT.

When your agent uses it

  • The user mentions SEPA
  • Superperformance
  • The trend template
  • VCP (volatility contraction pattern)

Example prompts

  • “should I buy this stock”
  • “is this a good setup”
  • “/sepa-strategy”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Gather Stock Data
  2. Stage Analysis — Identify the Current Stage
  3. Trend Template — 8 Mandatory Conditions
  4. Fundamental Check
  5. Pattern Recognition
  6. Entry Point Analysis
  7. Market Environment Check
  8. Position Sizing & Stop Loss Plan
  9. Respond to the User

What it can do on your machine

Read from SKILL.md and the folder at commit 01fc7b4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sepa Strategy loads about 3.2k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 210 tokens; SKILL.md has 1,590 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~210
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from himself65/finance-skills at commit 01fc7b4, republished under its MIT licence (© himself65). 1,590 words, ~3,185 tokens.

Download SKILL.mdSave it as .claude/skills/sepa-strategy/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
sepa-strategy
description
Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries, market environment, and risk-based position sizing. Use this skill whenever the user mentions SEPA, Minervini, superperformance, the trend template, VCP (volatility contraction pattern), Stage 2, pivot or breakout entries, moving-average stacking (price above the 50/150/200-day MAs), breakout volume, position sizing from risk percentage, growth-stock screening or swing-trade entry criteria, or bases such as cup-with-handle, flat base, bull flag, or high tight flag. Also use it when the user asks "should I buy this stock" or "is this a good setup" about a growth or momentum name, or shares a chart for pattern analysis.

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.

Data neededPurpose
Current priceTrend template check
50-day, 150-day, 200-day moving averagesMA alignment verification
52-week high and lowPrice position check
200MA value from 1 month ago and 4-5 months agoMA200 slope direction
20-day average volume + today's volumeVolume ratio analysis
Recent quarterly EPS (last 3-4 quarters)EPS growth & acceleration
Annual EPS (last 3 years)Long-term growth trend
Recent quarterly revenue (last 3-4 quarters)Revenue growth check
Gross margin and net margin trendMargin health
Institutional ownership changes (if available)Smart money signal
RS rating or 12-month relative performance vs S&P 500Relative strength
Price history for pattern recognitionVCP / chart pattern analysis

Compute the moving averages, 200MA slope, 52-week range, volume ratio, and relative performance from daily price history in code rather than estimating them — two years of history covers the 200-day MA and its 5-month slope.

If certain data is unavailable, note it and proceed with what you have. Missing RS rating is a significant gap — flag it.

Step 2: Stage Analysis — Identify the Current Stage

Every stock cycles through four stages. Read references/stage-analysis.md for full details.

Determine which stage the stock is in:

StageCharacteristicsAction
Stage 1 — BasingPrice near 200MA, MA flat/declining, MAs tangled, low volumeDo nothing, wait
Stage 2 — AdvancingMaking higher highs/lows, bullish MA alignment, volume on up daysOnly stage to buy
Stage 3 — ToppingWide swings at highs, frequent false breakouts, heavy volume without progressReduce, no new positions
Stage 4 — DecliningBelow all MAs, bearish alignment, bounces are selling opportunitiesFull cash, stay away

If the stock is NOT in Stage 2, stop here and tell the user. No further analysis needed.

Within Stage 2, count the base number (how many consolidation-then-breakout cycles have occurred):

  • Base 1-2: Safest, most upside potential — full position
  • Base 3-4: Still valid but reduce position size
  • Base 5-6: Late stage — half position at most
  • Base 7+: Avoid — likely transitioning to Stage 3

Step 3: Trend Template — 8 Mandatory Conditions

All 8 conditions must be met simultaneously. If any fails, the stock does not qualify. Read references/trend-template.md for detailed explanations.

Present results as a checklist:

#ConditionStatusValue
1Price > 150MA and Price > 200MAPass/Fail[actual values]
2150MA > 200MAPass/Fail[actual values]
3200MA trending up for ≥1 month (ideally 4-5 months)Pass/Fail[slope data]
450MA > 150MA and 50MA > 200MAPass/Fail[actual values]
5Price > 50MAPass/Fail[actual values]
6Price ≥ 30% above 52-week lowPass/Fail[% above low]
7Price within 25% of 52-week highPass/Fail[% from high]
8Relative Strength > 70th percentile (prefer 85-90+)Pass/Fail/Unknown[RS if available]

Memory aid: Conditions 1-5 = "MA staircase" (Price > 50MA > 150MA > 200MA, 200MA rising). Conditions 6-7 = "Price position" (far from low, near high). Condition 8 = "Relative strength" (market leader).

Step 4: Fundamental Check

Strong fundamentals separate real leaders from momentum-only stocks. Read references/fundamentals.md for thresholds and rating criteria.

Check these in order of importance:

  1. Quarterly EPS growth ≥ 20% (prefer 25-50%+). Below 20% = disqualify.
  2. EPS acceleration: Current quarter growth > prior quarter growth. Deceleration (even with positive growth) is a warning.
  3. Annual EPS growth ≥ 25% for each of the past 3 years.
  4. Revenue growth ≥ 15% annually, ≥ 20-25% quarterly preferred. If EPS grows but revenue doesn't, the growth is likely from cost-cutting (unsustainable).
  5. Margin trend: Gross and net margins stable or expanding = healthy. Contracting margins even with EPS growth = red flag.
  6. Institutional ownership increasing: Smart money accumulating = fuel for Stage 2 move.
  7. Catalyst: New product, FDA approval, major contract, market expansion, etc. Stocks with catalysts can run 50-100%+; without, typically 15-25%.

Rate fundamentals: A (EPS >30%, positive, revenue growing) / B (15-30%) / C (0-15%) / D (negative — skip).

Step 5: Pattern Recognition

Identify which consolidation pattern is forming (if any). Read references/patterns.md for detailed identification rules for each pattern.

VCP (Volatility Contraction Pattern) — The Core Pattern

The signature SEPA pattern. Look for these 7 characteristics:

  1. Stock must be in Stage 2 uptrend (prerequisite)
  2. Pullback depths decrease in sequence (e.g., 20% → 12% → 6% → 3%). Minimum 3 contractions, 4-5 ideal.
  3. Volume shrinks with each contraction. Final contraction shows "Volume Dry-Up" (VDU) — multi-week low volume.
  4. Higher lows — each pullback bottom is higher than the previous one.
  5. Clear pivot point — the consolidation range high = resistance level to break.
  6. RS > 70 (preferably 85-90+)
  7. Market in bull or neutral environment
Other Valid Patterns
PatternDepthDurationKey Feature
Cup with HandleCup 12-35%, handle ≤12%7-65 weeksU-shaped base + small handle
Flat Base≤ 15%5-10 weeksTight range near prior highs
Bull Flag≤ 50% of flagpole1-5 weeksSharp advance + tight drift down
High Tight Flag≤ 25% after 100%+ advance1-4 weeksRarest but most powerful

All patterns share the same entry rule: breakout above the pivot point with volume ≥ 1.5x the 20-day average.

Step 6: Entry Point Analysis

Read references/entry-rules.md for detailed entry mechanics, true vs false breakout identification, and the pocket pivot alternative.

Primary Entry: Pivot Point Breakout
  • Pivot point = the highest price in the consolidation range. This is the supply/demand inflection point.
  • Buy zone = pivot price to +5% above pivot. This is the only valid entry window.
  • Beyond +5%: Do NOT chase. Wait for the next setup.
  • Breakout volume: Must be ≥ 1.5x the 20-day average volume (≥ 2x is strong confirmation).
  • Earnings proximity: Avoid entering within 2 weeks of an earnings report.
Show full SKILL.md (602 more words)Show less
Breakout Quality Check
SignalTrue BreakoutFalse Breakout
Volume≥ 1.5x average, big spikeBelow average, weak
CloseNear the day's highFalls back below pivot
Follow-throughContinues higher next dayDrops back into range
ContextVDU preceded breakoutNo volume dry-up before
Risk/Reward Validation

Before entering, verify:

  • Stop loss distance: Entry price to stop ≤ 7-8%
  • Reward/risk ratio: Target profit / stop distance ≥ 2:1 (prefer 3:1)
  • If ratio < 2:1, the entry is too risky — skip it.

Step 7: Market Environment Check

Read references/market-environment.md for detailed criteria.

The market environment is the master switch for position sizing — it sets the risk per trade used in Step 8:

EnvironmentCriteriaRisk Per TradeMax Positions
BullS&P 500/Nasdaq above 200MA, breadth expanding, new highs > new lows1-2%6-8
ChoppySideways indices, frequent failed breakouts0.5-1%2-3
BearIndices below 200MA, >50% of stocks below 200MA0% (no new positions)0 (all cash)

Even the best setups fail in bear markets. Holding cash during bear markets IS a winning strategy — preserving capital for the next bull run.

Step 8: Position Sizing & Stop Loss Plan

Read references/position-sizing.md for the full formula, examples, stop loss evolution, and pyramiding rules.

Position Size Formula
Shares = (Account Value × Risk Per Trade %) ÷ (Entry Price − Stop Price)

Example: $100,000 account, 1% risk, buy at $50, stop at $46.50:

  • Max loss = $100,000 × 1% = $1,000
  • Stop distance = $50 − $46.50 = $3.50
  • Shares = $1,000 ÷ $3.50 = 285 shares ($14,250 = 14.25% of account)
Stop Loss Evolution (3 phases)
PhaseTriggerAction
Phase 1: InitialAt entryHard stop at entry price −7-8%. Non-negotiable.
Phase 2: BreakevenStock reaches +8%Sell half, move stop to entry price (breakeven). Trade can no longer lose money.
Phase 3: TrailingStock reaches +15%Sell another 25%, trail remaining stop along 20MA. Close below 20MA = exit all.

Iron rules: Stop losses only move UP, never down. Never average down on a losing position. After 3-4 consecutive losses, reduce risk per trade to 0.5%.

Pyramiding (Adding to Winners)

Only add to winning positions, with decreasing size: 50% initial → 30% at +8% → 20% at next base breakout. Never add to losers.

Step 9: Respond to the User

Present a structured analysis report with these sections:

Report Structure
  1. Stock & Stage: Ticker, current price, identified stage, base count if Stage 2
  2. Trend Template Scorecard: 8-condition checklist with pass/fail and actual values
  3. Fundamental Grade: A/B/C/D with EPS growth, acceleration status, revenue, margins
  4. Pattern Identified: Which pattern (VCP, cup-handle, flat base, flag, HTF, or none), with key measurements (contraction depths, volume behavior)
  5. Entry Assessment:
    • If a valid pattern exists: pivot price, buy zone, breakout volume requirement
    • If not yet formed: what to watch for
    • If already extended: "This has moved beyond the buy zone — wait for the next consolidation"
  6. Market Environment: Current assessment and the risk per trade it implies
  7. Position Sizing: Using the formula, show exact shares, stop price, first target, second target, and reward/risk ratio. Ask the user for their account size and risk tolerance if not provided.
  8. Overall Verdict: One of:
    • Strong Buy Setup — all criteria met, actionable now
    • Watch List — promising but pattern not yet complete or one condition marginal
    • Pass — fails trend template, wrong stage, or poor fundamentals

Always end with the disclaimer that this is educational analysis, not investment advice.

Reference Files

  • references/stage-analysis.md — Four-stage theory, transition signals, base counting
  • references/trend-template.md — Detailed 8-condition explanations and memory aids
  • references/fundamentals.md — EPS, revenue, margins, institutional holdings, catalysts
  • references/patterns.md — VCP 7 rules, cup-with-handle, flat base, flag, high tight flag, quality vs fake signals
  • references/entry-rules.md — Pivot point mechanics, buy zone, pocket pivot, true vs false breakout identification
  • references/position-sizing.md — Formula, stop loss 3-phase evolution, pyramiding, loss handling
  • references/market-environment.md — Bull/choppy/bear criteria and position adjustment rules

© himself65, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in plugins/market-analysis/skills/sepa-strategy of himself65/finance-skills.

  • SKILL.md
  • README.md
  • references/entry-rules.md
  • references/fundamentals.md
  • references/market-environment.md
  • references/patterns.md
  • references/position-sizing.md
  • references/stage-analysis.md
  • references/trend-template.md

Open the folder on GitHubat commit 01fc7b4

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Categories

Questions about Sepa Strategy

What does Sepa Strategy do?

Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries…. Sepa Strategy is an agent skill from himself65/finance-skills. Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries, market environment, and risk-based position sizing.

When should I use Sepa Strategy?

Sepa Strategy fits situations like: the user mentions SEPA; superperformance; the trend template; VCP (volatility contraction pattern).

How do I install Sepa Strategy in Claude Code?

Run `npx skills add himself65/finance-skills --skill sepa-strategy -a claude-code`. Or copy the skill folder (plugins/market-analysis/skills/sepa-strategy in himself65/finance-skills) into .claude/skills/sepa-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Sepa Strategy in Codex?

Run `npx skills add himself65/finance-skills --skill sepa-strategy -a codex`. Or copy the skill folder (plugins/market-analysis/skills/sepa-strategy in himself65/finance-skills) into .agents/skills/sepa-strategy in your project. Codex loads it when a task matches its description.

Can I use Sepa Strategy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add himself65/finance-skills --skill sepa-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sepa-strategy, .gemini/skills/sepa-strategy, .github/skills/sepa-strategy and .opencode/skills/sepa-strategy in your project.

What does Sepa Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Sepa Strategy is instructions for the agent only.

Does Sepa Strategy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sepa Strategy safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sepa Strategy use?

Sepa Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sepa Strategy use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.3k tokens, read only when the agent opens those files.

What are the alternatives to Sepa Strategy?

Skills that share tags, products or a category with Sepa Strategy: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 875 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sepa Strategy?

himself65 (a GitHub user) maintains it in himself65/finance-skills, which has 3,384 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 5, 2026.

Source: himself65/finance-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.