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Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.
Python code for pricing European and American options with examples for individual stock, index, and FX options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.
S&P 500 stocks data scrape from yahoo finance then calculate and analysis the Beta value against S&P daily % change. The 10% highest beta will queued for buy and lowest 10% going for sell using a conditional checking of Black Swan identification. Finally plot the resultant graph from Portfolio table.