About Options Analysis Suite

Options Analysis Suite is a comprehensive retail options analytics platform for learning, screening, pricing, and managing option trades. It combines options chains, Greeks, max pain, dealer exposure (GEX/DEX), implied-volatility surfaces, strategy P&L, screeners, market-regime tools, reports, mobile apps, API, SDK, and MCP access with institutional-style pricing depth most retail tools do not expose: 17 pricing models, 17 Greeks, live chain calibration, multi-model fair-value comparison, and 3D volatility surfaces. Built for traders at every level, from first-time options buyers learning fair value to advanced users comparing model divergence across markets.

What It Does

17 pricing models including Black-Scholes, Heston, Monte Carlo, SABR, Jump Diffusion, Variance Gamma, Local Volatility, PDE, Binomial, FFT, and seven exotic models (Barrier, Asian, Lookback, Digital, Compound, Chooser, Multi-Asset). All 17 Greeks (Delta through Phi) across every model. Live calibration to the implied volatility surface with arbitrage detection.

Three Modes, Three Interfaces

Serious users touch all three interfaces in a typical week. Each mode is shaped to a different question.

• GUI for thinking: the web app is for exploration. Dragging a strike across the chain, watching the Greek surface respond, flipping between models to see which one matches the market. Use it when you're trying to form an opinion or sanity-check a number.
• SDK for doing: the Python SDK is for the moment your opinion has hardened into a workflow. Calibrate Heston once, persist the parameters locally, and reuse the fit programmatically. Same engine the GUI runs against, drift-checked against the deployed OpenAPI spec, with typed responses on every endpoint.
• MCP for asking: the MCP (Model Context Protocol) server lets Claude, GPT, or any MCP-aware assistant call the platform on your behalf. Ask "what's the fair value of SPY 660 calls under Heston?" and it fetches the chain, calibrates, and prices, without you leaving the chat. Prior calls are persisted for later recall.

All three modes hit the same compute engine and the same market data. The Python SDK and the API are stateless per call; durability comes from artifacts the caller saves locally (e.g. calibration.save("spy_heston.json")). The web app and the MCP server back account-level state to your profile, which is why MCP recall works across sessions.

Methodology

Models implemented from published academic sources and validated via closed-form solutions, put-call parity, butterfly and calendar arbitrage checks, and Monte Carlo oracle comparisons. Implied volatility surfaces use eSSVI parameterization with Dupire Local Volatility extraction. Greek exposure (GEX, DEX, VEX, Vanna, Charm, Vomma) uses the standard dealer-hedging convention.

Data Sources

End-of-day options chains and historical analytics come from institutional-grade options market data providers and are available to all users. Real-time options data is available through BYOK (bring your own key) integrations with supported brokers and data providers; users access real-time feeds under their own data agreements. Proprietary daily options snapshots back to 2007. FINRA short data and market structure. SEC filings via EDGAR. Federal Reserve FRED macro data. Treasury auctions and bond ETFs. Economic, IPO, dividend, and split calendars. No brokerage connectivity, read-only market data only.

Data Freshness & Update Cadence

Different data types update on different cadences. Everything displayed carries a timestamp or lastmod signal; nothing is presented as "live" when it isn't.

• Authenticated real-time quotes (via BYOK): streaming over WebSocket as delivered by the user's broker.
• Public screener tables and EOD snapshots: refreshed once per trading day after the close. IV rank, open interest, GEX, put/call ratios, unusual-activity rankings.
• Historical options analytics (max pain, GEX, IV/HV, Greeks history): proprietary daily snapshots from 2007-present, one row per ticker per trading day.
• Change-based leaderboards (biggest-GEX-change, biggest-IV-change, biggest-put-call-change): day-over-day deltas from consecutive EOD snapshots.
• Fundamentals, analyst ratings, insider trades, news: refreshed daily; ratings and insider-trade feeds are typically one trading day in arrears per SEC cadence.
• FINRA data: daily short volume (T+1); bi-monthly short interest on FINRA's official release schedule; daily Reg SHO threshold list.
• Federal Reserve / Treasury / macro: FRED series on each series' native cadence (daily rates, monthly CPI/unemployment, quarterly GDP). Treasury auction and yield-curve feeds update daily.
• Earnings, IPO, dividend, split calendars: upcoming-events feeds refresh daily; actuals typically available within 24 hours of report.

Known Limitations

Every analytic rests on assumptions. Being transparent about where those assumptions start to bite is more useful than pretending they don't exist.

• Thin option chains produce noisy surfaces. IV surfaces apply quality filters (minimum OI, max bid-ask spread, DTE minimums); symbols that fail skip the surface view. For deeply illiquid single names, model prices are theoretical anchors, not executable quotes.
• GEX assumes the standard retail-long convention. We compute dealer gamma assuming retail is net long calls, net short puts, and dealers take the offsetting position. Regime shifts in retail positioning can invalidate the sign of aggregate GEX without being detected directly in the data pipeline.
• Max pain is a gravitational concept, not a forecast. Pinning is strongest on high-OI index ETFs in the final days before expiry and weaker or absent elsewhere.
• Implied probabilities are risk-neutral, not real-world. POP integrates the risk-neutral density and incorporates the risk premium; for premium-selling structures that typically overstates the realized-world probability.
• Model prices diverge in extreme regions. Black-Scholes, Heston, Jump-Diffusion, and Local Volatility agree near ATM and diverge in the wings. The pricing calculator shows all models side by side so the divergence is visible.
• Public screener data is delayed / end-of-day because OPRA licensing restricts public redistribution of real-time options data. Real-time feeds are reserved for authenticated BYOK users.
• Historical snapshots are reconstructed EOD state, not trade-by-trade replay. Backtests assuming intraday fills should account for this.
• Past performance and model outputs are not guarantees. See the Limitations & Disclaimers documentation section.

Pricing

Free tier includes Black-Scholes, all 17 Greeks, live market data, and options chain analytics. Professional unlocks the full 17-model suite, AI-assisted analysis, portfolio risk, and strategy backtesting. API tier exposes everything programmatically.