A Comprehensive Methodology for Analysing Options Trading: Utilizing Historical Data and the Black-Scholes Model

This paper presents a systematic methodology for analysing options trading, integrating user inputs with historical stock data to facilitate informed decision-making. The process begins with the collection of user-specified stock tickers and expiration dates, followed by the retrieval of historical price data to assess past stock performance. Key components of the analysis include calculating historical volatility, fetching the option chain, and filtering options into put and call categories. The methodology employs the Black-Scholes model to estimate fair option prices, which are further evaluated by calculating expected returns. The analysis culminates in the ranking of the top three put and call options based on their expected returns, providing users with actionable insights. Additionally, the methodology incorporates visual representations of stock prices and option data, alongside calculations of option Greeks to assess risk sensitivity. This comprehensive approach empowers traders to navigate the complexities of options trading with a clear understanding of potential outcomes and associated risks.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-09
DOI
https://doi.org/10.22214/ijraset.2024.64180
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

A Comprehensive Methodology for Analysing Options Trading: Utilizing Historical Data and the Black-Scholes Model

Haya Jafri
International Journal for Research in Applied Science and Engineering Technology
Stock Market Forecasting Methods
article

A Comprehensive Methodology for Analysing Options Trading: Utilizing Historical Data and the Black-Scholes Model

Haya Jafri
article en

Abstract

This paper presents a systematic methodology for analysing options trading, integrating user inputs with historical stock data to facilitate informed decision-making. The process begins with the collection of user-specified stock tickers and expiration dates, followed by the retrieval of historical price data to assess past stock performance. Key components of the analysis include calculating historical volatility, fetching the option chain, and filtering options into put and call categories. The methodology employs the Black-Scholes model to estimate fair option prices, which are further evaluated by calculating expected returns. The analysis culminates in the ranking of the top three put and call options based on their expected returns, providing users with actionable insights. Additionally, the methodology incorporates visual representations of stock prices and option data, alongside calculations of option Greeks to assess risk sensitivity. This comprehensive approach empowers traders to navigate the complexities of options trading with a clear understanding of potential outcomes and associated risks.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Stock Market Forecasting Methods
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