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Get The 46-Page Ultimate Guide to Pricing Options and Implied Volatility With Python

What You Get:

  1. 46-Page Ultimate Guide to Pricing Options and Implied Volatility With Python PDF
  2. Jupyter Notebook with working code
  3. Cached options data

Python libraries used:

Pandas, NumPy, SciPy, Matplotlib, Jupyter Notebook.

What you'll learn:

How to calculate and plot options payoffs, code the Black-Scholes pricing formula and greeks, compute implied volatility, analyze implied volatility and more…

The 46-Page Ultimate Guide to Pricing Options and Implied Volatility With Python (PDF + code)

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