Surface monitor Derivasys
System Overview

What this project does

DerivaSys is a real-time BTC, ETH, and altcoin options analytics project that turns live order book data into an arbitrage-aware implied volatility surface, then exposes the result through a trader-facing dashboard.

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

It highlights skew, fly, venue, and quote-through-fit signals so the surface can be interpreted as market context.

Operational state

It shows whether the pricing stack is live, calibrated, stable, and useful enough to support monitoring decisions.

Engineering surface

It demonstrates websocket patch ingestion, fit diagnostics, canvas rendering, and stateful market-data visualisation.

System summary

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.

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: these summarize skew and curvature across maturities in trader language.
  • SVI-through matrix: this shows where quoted bid/ask levels are through the fitted mid.
  • Smile matrix: this compares the fitted curve with venue bid, ask, and last-trade implied vols.
  • Fit tab: this 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/fly summaries into chart views, so a reviewer can scan both the numeric grid and the term-structure shape.

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.

What this page is not

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