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black-scholes

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Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.

  • Updated Oct 19, 2024
  • Python

Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning Model with assessment and performance.

  • Updated Sep 15, 2022
  • Python

😱 This Python script provides a comprehensive analysis of stock options using data retrieved from Yahoo Finance. It calculates various metrics such as implied volatility, historical volatility, intrinsic value, and time value for stock options. The analysis is based on the Black-Scholes option pricing model and historical stock price data.

  • Updated Mar 1, 2024
  • Python

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