ib-collar
Generate tactical collar strategy reports for protecting PMCC positions through earnings or high-risk events. Requires TWS or IB Gateway running locally.
pinned to #cc30858updated 3 months ago
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About this skill
Pulled from SKILL.md at publish time.
Generate a tactical collar strategy report for protecting PMCC positions through earnings or high-risk events.
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found at .claude/skills/ib-collar/SKILL.md · frontmatter source: SKILL.md
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Release history
1- releasecurrentcc30858warn3 months ago
Contents
IB Tactical Collar
Generate a tactical collar strategy report for protecting PMCC positions through earnings or high-risk events.
IB Connection
TWS or IB Gateway must be running locally with API enabled:
- Paper trading — port 7497
- Live trading — port 7496
Port fallback: If the configured port fails, automatically retry on the other port. If the retry succeeds, save to memory which account type worked (live/paper) and reuse it for all IB skill calls in this and future sessions — until the user explicitly asks for the other account. If both ports fail, ask the user to verify that TWS or IB Gateway is running with API access enabled.
Instructions
Step 1: Gather Data
uv run python scripts/collar.py SYMBOL [--port PORT] [--account ACCOUNT]
The script returns JSON to stdout with all position and scenario data.
Step 2: Format Report
Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/.
Step 3: Report Results
Present key findings to the user: recommended put protection, cost/benefit, and the saved report path.
Arguments
SYMBOL- Stock symbol to analyze (must be in portfolio)--port- IB port (default: 7497 for paper trading)--account- Specific account ID (optional, searches all accounts)
JSON Output
The script returns JSON with these key fields:
symbol,current_price- Basic infolong_strike,long_expiry,long_qty,long_cost- LEAPS positionshort_positions- List of short callsis_proper_pmcc,short_above_long- PMCC health flagsearnings_date,days_to_earnings- Earnings timingput_analysis- List of put scenarios with costs and P&L under gap up/flat/downunprotected_loss_10,unprotected_loss_15,unprotected_gain_10- LEAPS risk without collarvolatility- Historical volatility data
Report Sections
- Position Summary: Current PMCC structure (long calls, short calls)
- PMCC Health Check: Is structure proper (short > long strike) or broken?
- Earnings Risk: Next earnings date and days until event
- Put Duration Analysis: Comparison of short vs medium vs long-dated puts
- Collar Scenarios: Gap up, flat, gap down outcomes with each put duration
- Cost/Benefit Analysis: Insurance cost vs protection value
- Implementation Timeline: Step-by-step checklist with dates
- Recommendation: Optimal put strike and expiration
Key Concepts
Proper PMCC Structure:
- Long deep ITM LEAPS call
- Short OTM calls ABOVE long strike
- No additional margin required for collar
Broken PMCC Structure:
- Long call is now OTM (after crash)
- Short calls BELOW long strike require margin
- Collar still works but margin implications exist
Tactical Collar:
- Buy protective puts ONLY before high-risk events (earnings)
- Sell puts after event passes
- Balances income generation with crash protection
Put Duration Trade-offs:
- Short-dated: Cheaper, more gamma, but zero salvage on gap up
- Medium-dated (2-4 weeks): Best balance of cost, gamma, and salvage
- Long-dated: Preserves value on gap up, but expensive and less gamma
Example Usage
# Analyze NVDA position (defaults to paper port 7497)
uv run python scripts/collar.py NVDA
# Analyze specific account
uv run python scripts/collar.py AMZN --account U790497
# Use paper trading port instead
uv run python scripts/collar.py NVDA --port 7497
Timezone
All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
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Related
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Writing Plans
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Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/ib-collar