IB Delta-Adjusted Notional Exposure Report

SkillDocs & knowledge

Report delta-adjusted notional exposure across all IBKR accounts. Calculates option deltas using Black-Scholes and reports long/short exposure by account and underlying. Use when user asks about delta exposure, portfolio risk, or directional exposure.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the IB Delta-Adjusted Notional Exposure Report skill

What this skill tells your AI

The instructions your AI receives, as published by staskh/trading_skills in .claude/skills/ib-report-delta-adjusted-notional-exposure/SKILL.md and read by ahel’s review.

Calculate and report delta-adjusted notional exposure across all Interactive Brokers accounts.

IB Connection

TWS or IB Gateway must be running locally with API enabled:

  • Paper trading — port 7497
  • Live trading — port 7496
  • IB_PORT env var — default port when --port is omitted (e.g. IB_PORT=4001 for a Gateway container). Precedence: --port flag > IB_PORT > built-in default. Set it in the shell or a .env file.

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/delta_exposure.py [--port PORT]

The script returns JSON to stdout with all position deltas and summary 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/.

Filename: delta_exposure_report_{YYYYMMDD}_{HHMMSS}.md

Step 3: Report Results

Present the summary table (total long, short, net) and top exposures to the user. Include the saved report path.

Arguments

  • --port - IB port (default: 7497 for paper trading)

JSON Output

Returns delta-adjusted notional exposure with:

  • connected - Boolean
  • accounts - List of account IDs
  • position_count - Total positions
  • positions - Array of positions with symbol, delta, delta_notional, spot price
  • summary - Totals for long, short, and net delta notional
    • by_account - Long/short breakdown by account
    • by_underlying - Long/short/net breakdown by symbol

Methodology

  • Equity Options: Delta calculated via Black-Scholes with estimated IV based on moneyness
  • Futures: Delta = 1.0 (full notional exposure)
  • Futures Options: Delta calculated with lower IV assumption (20%)
  • Stocks: Delta = 1.0

Delta-adjusted notional = delta x spot price x quantity x multiplier

Examples

# Paper trading (default)
uv run python scripts/delta_exposure.py

# Live trading
uv run python scripts/delta_exposure.py --port 7496

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.

Signals

GitHub stars
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Last commit
Sep 2026
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skill
Gateway key
ib-report-delta-adjusted-notional-exposure
Source
github.com/staskh/trading_skills