/breakout-trade-planner

name: breakout-trade-planner
description: 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.

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:

1. **Actionable Orders** — Pre-breakout candidates with order templates 2. **Revalidation** — Breakout-state candidates needing live confirmation 3. **Watchlist** — Developing VCP candidates to monitor 4. **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