This is a Python-based application that allows users to calculate and visualize the payoff profiles for a wide range of options trading strategies. The supported strategies include:
- Long Call
- Short Call
- Long Put
- Short Put
- Bull Call Spread
- Bear Put Spread
- Long Straddle
- Long Strangle
- Strip
- Strap
- Long Butterfly
The application provides a user-friendly interface for inputting the necessary options parameters, and generates detailed payoff tables and charts to help traders and investors better understand the risk and reward characteristics of each strategy.
The payoff calculations for each strategy are based on the following mathematical expressions:
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Payoff Table and Chart Generation: The application can generate detailed payoff tables and charts for each of the supported options trading strategies, including the expiration price, premium, call/put value, net payoff, and highlighted breakeven point(s) and profit/loss zones.
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Payoff Table Formatting: The payoff table is formatted with intuitive color-coding to highlight profitable and losing scenarios. Positive net payoffs are shown in green, negative net payoffs are shown in red, and breakeven scenarios are shown in a light blue.
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Responsive Visualization: The application automatically calculates the optimal height and width of the payoff table to ensure it is displayed in a clear and readable format. The payoff-graph highlights the break-even point(s) (abbreviated as BEP) for a given strategy using a green marker.
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Graceful Error Handling / Validation Checks: The application includes robust error handling to ensure that it can gracefully handle any issues that may arise while inputting parameters, calculating startegy payoffs, and visualising tabular/graphical plots.
If you would like to contribute to the development of the options strategy payoff calculator, please:
- Feel free to clone the repository to your local machine
- Install the required dependencies, including
numpy
,pandas
,matplotlib
, andstreamlit
- Make your contribution, and then submit a pull request.
You can also use the discussions tab within the repository and raise issues if needed.