Production-quality volatility surface library for Rust
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Updated
Aug 23, 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.
Production-grade quantitative volatility surfaces, Greek analytics, and backtesting signals. 2.6M+ IV ops/sec.
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.
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.
SPX implied volatility surface construction, no-arbitrage diagnostics, and PCA factor decomposition. SSVI calibrated, audited math, 500 trading days from OptionMetrics.
Volatility surface interpolation library — SVI/SSVI/SABR parametrization, arbitrage-free checks, term structure models
Arbitrage-free BTC/ETH volatility surfaces and executable relative-value research
SPY implied volatility surface: IV extraction, per-slice SVI calibration, arbitrage verification (Durrleman, calendar), and SSVI surface fit
Provide a high-performance implied volatility surface engine with C++ core and Python dashboard for accurate options pricing and risk management.
Deterministic Heston/SSVI volatility-surface research with quote validation, calibration, static-arbitrage diagnostics and synthetic evidence.
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