System overview

What this project does.

Derivasys is a real-time BTC options analytics project that turns live quote state into an arbitrage-aware implied volatility surface. ETH and selected altcoin surface configurations remain explicitly labelled as testing.

The system demonstrates the workflow behind a pricing monitor: market-data normalisation, constrained SVI calibration, surface construction, risk generation, diagnostics, and live visualisation.

Market signal / Operational state / Engineering surface / API access.

By Sean GordonPublished Updated ExplainerSurface cluster

Verified product scope

Status last verified 11 July 2026.

System summary

The dashboard turns sparse options quotes into usable surface state.

Option markets are sparse and noisy: every expiry has many strikes, each venue has its own quotes, and the useful signal is often the difference between the market and a fitted surface.

Derivasys ingests those updates, fits an SVI surface, and presents the live shape as variance, volatility, smiles, risk reversals, flies, and through-fit dislocations.

First checks

What to look at first.

  • Header metrics: feed state, fit objective, fit time, and latest SVI push show whether the engine is live.
  • Risk reversal and fly grids summarize skew and curvature across maturities in trader language.
  • SVI-through matrix shows where quoted bid or ask levels are through the fitted mid.
  • Smile matrix compares the fitted curve with venue bid, ask, and last-trade implied vols.
  • Fit tab exposes the surface and diagnostic views behind the market dashboard.
Derivasys dashboard section with risk reversal and fly grids followed by their chart views
The dashboard moves from tabular RR and fly summaries into chart views, so a reviewer can scan both the numeric grid and the term-structure shape.
Derivasys SVI-through matrix showing bid and ask quote levels through the fitted crypto options surface
The SVI-through matrix is a fast reviewer check: it highlights where venue quotes disagree with the fitted surface enough to need investigation.

Use case

Why it matters.

A live volatility surface is the centre of many pricing-system problems. It supports quoting, risk generation, relative-value monitoring, venue comparison, and data-quality diagnosis.

The same ideas transfer beyond crypto options into rates curves, swaption surfaces, credit curves, and fixed income analytics.

This is not a trading ticket, investment advice, or a source of record. It is a monitoring interface for understanding a live pricing and calibration workflow.

Access

API availability.

The project exposes beta WebSocket evaluation by request using the dashboard snapshot/patch contract. REST behavior remains testing and is described only in the evaluator-specific contract.

BTC is the verified live currency. ETH, SOL, XRP, and AVAX remain testing surfaces; other currencies are not presented as active feeds without maintained runtime evidence.

Inspect live surface state in Derivasys.

Use the dashboard to compare fitted surfaces, venue marks, risk nodes, quote diagnostics, and API-ready state.