Analyzing Options Flow

Overview

Track and analyze crypto options flow on centralized derivatives exchanges (Deribit, OKX, Bybit) to identify institutional positioning, gauge market sentiment, and detect unusual activity in BTC and ETH options markets.

Prerequisites

• API credentials for at least one crypto derivatives exchange (Deribit API key recommended; OKX or Bybit as alternatives)
• Python 3.8+ with requests and websocket-client libraries installed
• Optional: pandas and numpy for advanced statistical analysis of flow data
• Understanding of options terminology: strike price, expiry, implied volatility, delta, gamma, open interest, and premium
• Network access to exchange WebSocket feeds for real-time flow monitoring

Instructions

1. Load exchange API credentials from ${CLAUDE_SKILL_DIR}/config/crypto-apis.env using the Read tool to authenticate against derivatives exchange endpoints.
2. Run Bash(crypto:options-*) to connect to the Deribit options data feed and pull the current options chain for BTC or ETH, including all active strikes and expiries.
3. Retrieve open interest data across all strike prices and expiration dates to build an open interest heatmap showing where positions are concentrated.
4. Calculate the aggregate put/call ratio by volume and by open interest to assess overall market sentiment (ratio above 1.0 indicates bearish bias; below 1.0 indicates bullish).
5. Filter for block trades exceeding a configurable notional threshold (e.g., $500K+) to isolate institutional-sized activity from retail noise.
6. Analyze the implied volatility term structure across expiry dates to detect vol compression (potential breakout ahead) or vol expansion (uncertainty increasing).
7. Track max pain levels for upcoming expiries by computing the strike price at which the most options expire worthless, indicating likely price magnetism near expiry.
8. Compare recent flow data against historical baselines (7-day and 30-day rolling averages) to flag statistically unusual positioning.
9. Generate a flow summary report with actionable signals: bullish large-block calls, bearish put sweeps, IV skew shifts, and OI buildup at key strikes.
10. Export results using --format json or --format csv for integration with trading dashboards or alerting systems.

See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full implementation workflow.

Output

• Options chain tables showing strike, expiry, bid/ask, IV, delta, gamma, open interest, and volume for each contract
• Put/call ratio summary (by volume and open interest) with historical comparison
• Block trade log listing timestamp, direction (buy/sell), strike, expiry, size, premium, and implied volatility
• Open interest heatmap data mapping strike prices against expiration dates with position concentration
• Max pain calculation per expiry date with the optimal pain strike and dollar value at risk
• Implied volatility term structure curves across near-term and far-term expiries
• Unusual activity alerts flagging trades exceeding 2 standard deviations from the rolling average
• JSON or CSV export files for downstream analysis and dashboard integration

Error Handling

Examples

BTC Options Sentiment Snapshot

# Pull current BTC options chain and compute put/call ratios
python options_flow.py btc --summary

Returns the aggregate put/call ratio, top 5 strikes by open interest, max pain for the nearest expiry, and the current implied volatility at-the-money. A put/call ratio of 0.65 with heavy call OI at the $120K strike suggests bullish institutional positioning.

Detect Institutional Block Trades

# Filter for block trades above $1M notional in the last 24 hours
python options_flow.py btc --blocks --min-notional 1000000 --period 24h  # 1000000 = 1M limit

Lists all block trades exceeding the threshold with direction inference (aggressor side), strike, expiry, premium paid, and IV at execution. Useful for spotting large directional bets before they move the underlying.

ETH Implied Volatility Term Structure

# Generate IV term structure for ETH across all active expiries
python options_flow.py eth --iv-curve --format json > eth_iv_term.json

Exports the IV term structure as JSON. Flat or inverted term structures (near-term IV higher than far-term) often precede sharp directional moves, while steep upward-sloping curves indicate calm near-term expectations.

Resources

• Deribit API Documentation -- primary exchange for crypto options data, WebSocket and REST endpoints
• Laevitas Analytics -- crypto derivatives analytics dashboard with options flow visualization
• Greeks.live -- real-time crypto options analytics and block trade tracking
• Amberdata Derivatives -- institutional-grade crypto derivatives data API
• The Block Research -- aggregated crypto options market data and charts