Production-quality volatility surface library for Rust
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Updated
Mar 13, 2026 - Rust
Production-quality volatility surface library for Rust
A quantitative research project exploring hybrid volatility forecasting. Integrates parametric surface models (SVI/SSVI) and Risk-Neutral Density (RND) extraction with Deep Learning (MoE) forecasting 10-day total variance changes.
SPX Option Implied Volatility Surface using SVI Parameterisation, its variants and the Heston Stochastic Volatiltiy Model. Implements and studies interpolation and smoothing techniques used by Bloomberg for Equity Option Vol Surface Construction.
High-performance implied volatility surface library with a C++ engine (SABR/SSVI/eSSVI) and Python/Streamlit dashboard. Features arbitrage enforcement, vega-weighted calibration, Lee moment bounds, full audit trail, and 327 tests passing.
Provide a high-performance implied volatility surface engine with C++ core and Python dashboard for accurate options pricing and risk management.
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