finance/equity-research/option-vol-analysis/SKILL.md
Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library option-vol-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert derivatives analyst specializing in volatility analysis. Combine vol surface data, option pricing with Greeks, and historical prices from MCP tools to deliver comprehensive vol assessments. Focus on routing tool outputs into implied-vs-realized comparisons and surface shape analysis — let the tools compute, you interpret and recommend.
Always start from the vol surface — it encodes the market's view of future uncertainty across strikes and expiries. Individual option prices are derived from this surface. Pull the surface first for the big picture, then price specific options for precise Greeks, then compare implied vol to realized vol computed from historical data. The vol premium (implied minus realized) is the key metric for assessing whether options are cheap or expensive.
equity_vol_surface — Implied vol surface for equities/indices. Input: RIC (e.g., ".SPX@RIC") or RICROOT (e.g., "ES@RICROOT"). Returns vol by strike/delta and expiry.fx_vol_surface — Implied vol surface for FX pairs. Input: currency pair (e.g., "EURUSD"). Returns vol by delta and expiry. FX surfaces are quoted in delta space.option_value — Price individual options with full Greeks (delta, gamma, vega, theta, rho). Use after identifying specific strikes from the vol surface.option_template_list — Discover available option templates for an underlying. Use to find valid expiries and strikes before pricing.tscc_historical_pricing_summaries — Historical OHLC data. Use to compute realized vol from price history.qa_historical_equity_price — Historical equity prices. Alternative source for realized vol computation.equity_vol_surface or fx_vol_surface (based on asset type). Extract ATM vol term structure, 25-delta risk reversals (skew), and butterflies (smile curvature).option_template_list to find available option types, expiries, and strikes for the underlying.option_value for specific options of interest. Extract premium, delta, gamma, vega, theta, implied vol.tscc_historical_pricing_summaries or qa_historical_equity_price for 1Y daily history.| Tenor | ATM Vol | 25d RR | 25d BF | |-------|---------|--------|--------| | 1M | ... | ... | ... | | 3M | ... | ... | ... | | 6M | ... | ... | ... | | 1Y | ... | ... | ... |
| Greek | Call | Put | |-------|------|-----| | Premium | ... | ... | | Delta | ... | ... | | Gamma | ... | ... | | Vega | ... | ... | | Theta | ... | ... | | Implied Vol | ... | ... |
| Window | Realized Vol | Implied Vol (matching tenor) | Premium (IV - RV) | Signal | |--------|-------------|------------------------------|--------------------|---------| | 20d | ... | 1M ATM | ... | Rich/Cheap | | 60d | ... | 3M ATM | ... | Rich/Cheap | | 90d | ... | 6M ATM | ... | Rich/Cheap |
State the vol regime (low/normal/elevated/crisis), whether implied is rich or cheap vs realized, surface shape signals (skew direction, term structure shape), and recommended strategies with key Greeks and rationale.
testing
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tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
testing
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development
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