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Breakout trade planner

Skill xonevn-ai/xone-trading-skills/skills/breakout-trade-planner

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Install

npx -y skills add xonevn-ai/xone-trading-skills --skill breakout-trade-planner

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Generate Minervini-style breakout trade plans from VCP screener output with worst-case risk calculation, portfolio heat management, and Alpaca-compatible order templates (stop-limit bracket for pre-placement, limit bracket for post-confirmation). Use when user has VCP screener results and wants actionable trade plans with entry/stop/target levels and position sizing.

SKILL.md

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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: pre_place (stop-limit) vs post_confirm (limit after 5min confirmation)
Portfolio risk contribution and cumulative heat

Minervini Gate (Filtering Criteria)

Candidates must pass ALL conditions:

Condition	Pre-breakout	Breakout
valid_vcp	True	True
rating_band	good/strong/textbook	good/strong/textbook
risk_pct_worst	<= 8.0%	<= 8.0%
breakout_volume	—	True
distance_from_pivot	—	<= max_chase_pct
current_price	—	<= 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 templates
breakout_trade_plan_YYYY-MM-DD_HHMMSS.md — Human-readable report

Resources

references/minervini_entry_rules.md — Entry methodology and rules

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