Electronic Arts Stock Dataset

Dataset Composition:

1. Stock Price Data:
   • This dataset includes daily stock price records for EA, detailing opening, closing, high, and low prices, as well as trading volume. It spans several years, allowing users to analyze price fluctuations, trends, and volatility over time.
   • Additional Insights: Technical indicators such as moving averages, RSI (Relative Strength Index), and Bollinger Bands could be included for better stock performance analysis.
2. Dividend Data:
   • The dataset contains historical records of EA’s dividend payments, including declaration dates, ex-dividend dates, record dates, payment dates, and dividend amounts. This allows investors to evaluate EA’s dividend payout strategy over time.
   • Additional Insights: Integrating dividend yield calculations and comparing with the industry average would offer a clearer understanding of EA’s dividend performance.
3. Stock Split Data:
   • This dataset tracks EA’s stock split history, recording the dates of stock splits and the associated split ratios. Stock splits can influence share price and liquidity, and this dataset enables a study of these impacts on EA’s market performance.
   • Additional Insights: A comparison of EA’s stock split history with other major players in the gaming and tech industries could provide broader market insights.

Data Source:

The data is retrieved from the Alpha Vantage API, a reputable financial data provider known for delivering high-quality historical financial data. All data is cleaned and standardized, ensuring consistent and reliable analysis.

Potential Applications:

• Investment Decisions:
  • The dataset offers a powerful tool for investors seeking to evaluate EA’s stock as part of their portfolio. Combining stock price trends with dividend and stock split data enables more precise decision-making.
• Algorithmic Trading:
  • Data scientists and algorithmic traders can integrate this dataset into trading models, using historical patterns to develop prediction algorithms for EA’s stock movements.
• Academic Research:
  • The dataset can serve as a valuable resource for academic studies on corporate finance, stock market behavior, and the effects of dividends and stock splits on stock valuation.

Conclusion:

This EA stock dataset provides a comprehensive financial history of one of the largest players in the gaming industry. Investors, financial analysts, and researchers can benefit from its depth of information, from stock price trends and dividend histories to stock split records. By including advanced financial indicators and comparisons to industry peers, this dataset becomes a crucial resource for making informed financial decisions or conducting further research.