Install
$ agentstack add skill-tradermonty-claude-trading-skills-breakout-trade-planner ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Breakout Trade Planner
Generate trade plans from VCP screener output following Mark Minervini's breakout methodology. Calculate position sizes using worst-case entry prices, enforce portfolio risk limits, and output Alpaca API-compatible order templates.
When to Use
- User has VCP screener JSON output and wants trade plans
- User asks for breakout entry/stop/target calculation
- User wants Alpaca order templates for VCP breakout candidates
- User needs position sizing with portfolio heat management
Prerequisites
- VCP screener JSON output with
schema_version: "1.0" - No API keys required (works with local JSON files)
- No external skill dependencies (position sizing is built-in)
Workflow
Step 1: Generate Trade Plans
Run the planner with VCP screener output:
python3 skills/breakout-trade-planner/scripts/plan_breakout_trades.py \
--input reports/vcp_screener_YYYY-MM-DD.json \
--account-size 100000 \
--risk-pct 0.5 \
--output-dir reports/
Step 2: Review Output
Read the generated JSON and Markdown reports. Present:
- Actionable Orders — Pre-breakout candidates with order templates
- Revalidation — Breakout-state candidates needing live confirmation
- Watchlist — Developing VCP candidates to monitor
- Rejected/Deferred/Constrained — Candidates filtered by Gate or portfolio limits
Step 3: Explain Trade Plans
For each actionable order, explain:
- Entry levels (signal vs worst-case) and stop-loss placement
- R-multiple targets and reward-risk ratio
- Two execution modes: preplace (stop-limit) vs postconfirm (limit after 5min confirmation)
- Portfolio risk contribution and cumulative heat
Minervini Gate (Filtering Criteria)
Candidates must pass ALL conditions:
| Condition | Pre-breakout | Breakout | |-----------|-------------|----------| | validvcp | True | True | | ratingband | good/strong/textbook | good/strong/textbook | | riskpctworst | <= 8.0% | <= 8.0% | | breakoutvolume | — | True | | distancefrompivot | — | <= maxchasepct | | currentprice | — | <= worst_entry |
CLI Parameters
| Parameter | Default | Description | |-----------|---------|-------------| | --account-size | (required) | Account equity in dollars | | --risk-pct | 0.5 | Base risk % per trade | | --max-position-pct | 10.0 | Max single position % | | --max-sector-pct | 30.0 | Max sector exposure % | | --max-portfolio-heat-pct | 6.0 | Max total open risk % | | --target-r-multiple | 2.0 | Take-profit R-multiple | | --stop-buffer-pct | 1.0 | Stop buffer below contraction low | | --max-chase-pct | 2.0 | Max chase above pivot | | --pivot-buffer-pct | 0.1 | Pivot buffer for buy-stop trigger | | --current-exposure-json | None | Existing portfolio exposure |
Output
breakout_trade_plan_YYYY-MM-DD_HHMMSS.json— Structured plans with order templatesbreakout_trade_plan_YYYY-MM-DD_HHMMSS.md— Human-readable report
Resources
references/minervini_entry_rules.md— Entry methodology and rules
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tradermonty
- Source: tradermonty/claude-trading-skills
- License: MIT
- Homepage: https://tradermonty.github.io/claude-trading-skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.