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barrier-options

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Option Pricing with Monte Carlo Simulation — A Python library implementing Black–Scholes analytic pricing, Monte Carlo simulations (with variance reduction, quasi-MC), and advanced derivatives such as Asian, Barrier, and American options. Includes performance acceleration using Numba and comprehensive documentation with visualizations.

  • Updated Sep 16, 2025
  • Python

An advanced Python framework for pricing financial derivatives beyond Black-Scholes using the Heston Stochastic Volatility Model and the Merton Jump Diffusion Model. The project evaluates European, American, and Barrier options, analyzes strike sensitivities, and computes Greeks using Monte Carlo simulations.

  • Updated Jul 24, 2026
  • Jupyter Notebook

Retail futures evaluation contracts priced as options on a drawdown barrier. The parameter driving ~80% of economic value is disclosed by no provider; the fee everyone compares is the least material lever. Screens 25 firms from public terms and concludes against the opportunity. Paper (EN/ES), code, falsification protocol.

  • Updated Aug 4, 2026
  • Python

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