Analyzing Options Flow
- 26 installs
- 82 repo stars
- Updated August 2, 2026
- aaaaqwq/claude-code-skills
analyzing-options-flow is a Claude Code skill that tracks crypto options flow to identify institutional positioning and market sentiment using crypto market and on-chain data APIs.
About
analyzing-options-flow is a Claude Code skill for tracking crypto options flow to gauge institutional positioning and market sentiment. A developer invokes it with phrases like 'track options flow' to query crypto market and blockchain data via APIs such as CoinGecko, Etherscan, Dune, and The Graph. It aggregates prices, volumes, and liquidity metrics across exchanges.
- Tracks crypto options flow to identify institutional positioning and market sentiment
- Pulls market and on-chain data from CoinGecko, Etherscan, Dune, The Graph, and exchange APIs
- Outputs cross-exchange prices, spreads, volume/market cap, and liquidity/slippage metrics
Analyzing Options Flow by the numbers
- 26 all-time installs (skills.sh)
- Ranked #687 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
analyzing-options-flow capabilities & compatibility
requires crypto data and exchange API keys; some free tiers available
- Capabilities
- options flow analysis · crypto market data · on chain analytics · liquidity analysis
- Works with
- openai
- Use cases
- data analysis · trading · research
- Pricing
- Bring your own API key
What analyzing-options-flow says it does
Track crypto options flow to identify institutional positioning and market sentiment.
Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
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| Installs | 26 |
|---|---|
| repo stars | ★ 82 |
| Last updated | August 2, 2026 |
| Repository | aaaaqwq/claude-code-skills ↗ |
What it does
A developer uses it to track crypto derivatives and options flow for institutional positioning signals using market and on-chain data.
Who is it for?
Tracking crypto options and derivatives flow for institutional positioning and sentiment
Skip if: Live trading execution or investment advice
When should I use this skill?
Tracking institutional options flow; triggered by phrases like track options flow, analyze derivatives, or check institutional
What you get
- cross-exchange price and spread analysis
- volume and market cap metrics
- liquidity and slippage estimates
By the numbers
- Price changes tracked across 4 timeframes (1h, 24h, 7d, 30d)
Files
Analyzing Options Flow
Overview
This skill provides automated assistance for the described functionality.
Prerequisites
Before using this skill, ensure you have:
- Access to crypto market data APIs (CoinGecko, CoinMarketCap, or similar)
- Blockchain RPC endpoints or node access (Infura, Alchemy, or self-hosted)
- API keys for exchanges if trading or querying account data
- Web3 libraries installed (ethers.js, web3.py, or equivalent)
- Understanding of blockchain concepts and crypto market dynamics
Instructions
1. Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env 2. Configure blockchain RPC endpoints for target networks 3. Set up exchange API connections if required 4. Verify rate limits and subscription tiers 5. Test connectivity and authentication 1. Use Bash(crypto:options-*) to execute crypto data queries 2. Fetch real-time prices, volumes, and market cap data 3. Query blockchain for on-chain metrics and transactions 4. Retrieve exchange order book and trade history 5. Aggregate data from multiple sources for accuracy
See {baseDir}/references/implementation.md for detailed implementation guide.
Output
- Current prices across exchanges with spread analysis
- 24h volume, market cap, and circulating supply
- Price changes across multiple timeframes (1h, 24h, 7d, 30d)
- Trading volume distribution by exchange
- Liquidity metrics and slippage estimates
- Transaction count and network activity
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
- CoinGecko API for market data across thousands of assets
- Etherscan API for Ethereum blockchain data
- Dune Analytics for on-chain SQL queries
- The Graph for decentralized blockchain indexing
- ethers.js for Ethereum smart contract interaction
Error Handling Reference
Common issues and solutions:
API Rate Limit Exceeded
- Error: Too many requests to crypto data API
- Solution: Implement request throttling; use caching for frequently accessed data; upgrade API tier if needed
Blockchain RPC Errors
- Error: Cannot connect to blockchain node or timeout
- Solution: Switch to backup RPC endpoint; verify network connectivity; check if node is synced
Invalid Address or Transaction
- Error: Blockchain address format invalid or transaction not found
- Solution: Validate address checksums; verify network (mainnet vs testnet); allow time for transaction confirmation
Exchange API Authentication Failed
- Error: Invalid API key or signature mismatch
- Solution: Regenerate API keys; verify permissions (read/trade); check system clock synchronization for signatures
Examples
Example usage patterns will be demonstrated in context.
Implementation Guide
Step 1: Configure Data Sources
Set up connections to crypto data providers: 1. Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env 2. Configure blockchain RPC endpoints for target networks 3. Set up exchange API connections if required 4. Verify rate limits and subscription tiers 5. Test connectivity and authentication
Step 2: Query Crypto Data
Retrieve relevant blockchain and market data: 1. Use Bash(crypto:options-*) to execute crypto data queries 2. Fetch real-time prices, volumes, and market cap data 3. Query blockchain for on-chain metrics and transactions 4. Retrieve exchange order book and trade history 5. Aggregate data from multiple sources for accuracy
Step 3: Analyze and Process
Process crypto data to generate insights:
- Calculate key metrics (returns, volatility, correlation)
- Identify patterns and anomalies in data
- Apply technical indicators or on-chain signals
- Compare across timeframes and assets
- Generate actionable insights and alerts
Step 4: Generate Reports
Document findings in {baseDir}/crypto-reports/:
- Market summary with key price movements
- Detailed analysis with charts and metrics
- Trading signals or opportunity recommendations
- Risk assessment and position sizing guidance
- Historical context and trend analysis
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What data sources does it use?
It references CoinGecko for market data, Etherscan for Ethereum blockchain data, Dune Analytics for on-chain SQL, The Graph for indexing, and ethers.js for contract interaction.
What does it output?
Cross-exchange prices with spread analysis, 24h volume and market cap, multi-timeframe price changes, volume distribution by exchange, and liquidity/slippage estimates.