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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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A Python implementation of the rough Bergomi model.
Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .
Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation.
Python SDK for the FlashAlpha options analytics API — live options screener, gamma exposure (GEX), DEX/VEX/CHEX, options flow, 0DTE, VRP, volatility surfaces, greeks