<ul><li>This post covers visualizing options market data in Python focusing on implied volatility, open interest, and max pain.</li><li>Options traders analyze implied volatility and open interest for market sentiment, liquidity, and price expectations. The Max Pain theory helps predict stock price behavior near expiry.</li><li>The code provided loads and cleans options data, calculates key metrics like ATM strike and expected price move, and visualizes open interest and implied volatility.</li><li>This analysis requires exporting options data to CSV files, running a Python script for processing, and interpreting charts to understand market activity and sentiment.</li></ul>

Visualizing Options Market Data in Python: Implied Volatility, Open Interest, and Max Pain

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