someben / yaopt

Option pricing in Python

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yaopt


Basic options pricing in Python

“Oh cool. Probably a little easier than spinning up the QuantLib stack.” — Wes McKinney, creator of Pandas

Features


  • Option valuation w/ Black-Scholes, lattice (binomial tree), and Monte Carlo simulation models.
  • Basic Greeks calculation (delta, theta, rho, vega, gamma) across each valuation model.
  • Discrete dividends support in the lattice (binomial tree) and Monte Carlo simulation models.
  • Early exercise (American options) support in Monte Carlo simulation through the Longstaff-Schwartz technique.
  • Minimal dependencies, just Numpy & SciPy.
  • Free software, released under the MIT license.

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Option pricing in Python

License:MIT License


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