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Interactive Black-Scholes option price dashboard. Generated visuals include implied volatility plots and heatmaps reflecting premium changes based on volatility and spot price variations. Incorporates data storage in a relational database with referential integrity.

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tmfreiberg/black-scholes-option-pricer

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black-scholes-option-pricer

A dashboard for plots, heatmaps etc., related to option prices, per the Black-Scholes model.

In Python, we employ Streamlit to create a sleek user interface allowing the user to input values for spot, strike, interest, time to maturity, and volatility. We compute corresponding European call option price according to Black-Scholes. We display a heatmap (matplotlib) reflecting the change in premium given a change in volatility and a change in spot price. The user can save this data to a database (SQLite) and retrieve it later on (database contains two tables related by primary/foreign key relation). The heatmap data can also be displayed in a pandas DataFrame.

We also allow the user to compute/plot implied volatility, and spot vs premium contours of the Black-Scholes solution surface for chosen times to maturity.

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Interactive Black-Scholes option price dashboard. Generated visuals include implied volatility plots and heatmaps reflecting premium changes based on volatility and spot price variations. Incorporates data storage in a relational database with referential integrity.

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