OIPD: (1) computes the market's expectations about the probable future prices of an asset, (2) offers a full arbitrage-free volatility surface fitter
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Updated
Feb 20, 2026 - Python
OIPD: (1) computes the market's expectations about the probable future prices of an asset, (2) offers a full arbitrage-free volatility surface fitter
Streamlit IV surface visualizer (Yahoo Finance + Black–Scholes). Explore IV vs expiry and strike/log-moneyness.
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Systematic Volatility Research and Backtesting for equity options
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A package that utilises QT and OpenGL graphics to visualise realtime 3D volatility surfaces and analytics.
Jupyter notebooks implementing Finance projects
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Modular multi-asset-class Monte Carlo engine for pricing exotic derivatives and structured products with calibrated implied volatility surfaces (Heston, local vol, SVI) and a user-friendly Django web interface.
C++20 quantitative finance library for volatility surface modelling and derivatives pricing.
Implied volatility surfaces from SPX option chains data (both calls and puts), interpolation for continuous querying, and GUI to visualize surfaces and calculate Black-Scholes prices and IVs
Live updating dynamic volatility surface constructed from options prices in C++
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.
A volatility surface cleaner built by a high school student — arbitrage-free interpolation of implied volatility from real options data.
A low-latency, real-time Implied Volatility (IV) surface streamer and 3D visualizer built for options market making and quantitative analysis.
Fast Monte Carlo option strategy simulator with implied vol surfaces in Rust
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