This needs to be done in an excel spreadsheet using the first 5 stocks
This assignment requires creating an Excel spreadsheet that tracks the weekly stock prices for a total of ten stocks, including five provided stocks and five additional stocks specified. Starting from July 12, 2013, which is a Friday, data should be collected for each subsequent Friday over a span of seven weeks, specifically July 12, 2013; July 19, 2013; July 26, 2013; August 2, 2013; August 9, 2013; August 16, 2013; and August 23, 2013. The stock prices for these dates must be accurately retrieved and entered into the spreadsheet.
The first column of the spreadsheet should list these dates. Following columns should correspond to each of the ten stocks, with the respective closing prices entered for each week and for each stock. The stocks include the initial five stocks provided in the example, plus the additional five: Corning, Walmart, Best Buy, Pepsi, and Amazon.
All retrieved data must be precise and sourced from reliable financial data providers, such as Yahoo Finance or similar platforms, ensuring historical stock prices align with the specific dates mentioned. Special attention should be paid to matching the exact date of each entry and ensuring the price data corresponds to the closing price on that day.
In addition to collecting and organizing this data, the instructions on the first attachment should be carefully followed. These instructions may include formatting requirements, header labels, and data organization guidelines, which should be reflected within the Excel sheet to maintain consistency and accuracy.
This task emphasizes accuracy in data collection and organization, as well as meticulous adherence to the specified timeline and data sources. The final spreadsheet should serve as a clear, well-organized record of weekly stock prices for the specified period, fulfilling all given instructions fully.
Paper For Above instruction
Creating a comprehensive historical stock price spreadsheet is a fundamental task in financial data analysis, offering insights into market trends and individual stock performance over a selected period. This exercise involves meticulous data collection, organization, and presentation, requiring attention to detail and accuracy. The timeline starting from July 12, 2013, necessitates precise retrieval of stock prices on specific Fridays over seven consecutive weeks, which provides a consistent snapshot of market behavior
during that timeframe.
The initial step in this process involves establishing the structure of the spreadsheet. The first column should list the dates, beginning with July 12, 2013, and continuing through each subsequent Friday until August 23, 2013. These dates serve as anchor points for the weekly data entries. To facilitate clarity, the remaining columns should be labeled with the respective stock symbols or names. The ten stocks include the five originally provided in the example and the additional five: Corning (GLW), Walmart (WMT), Best Buy (BBY), Pepsi (PEP), and Amazon (AMZN).
Once the structure is set, the most critical component is data acquisition. Accurate historical prices are essential, necessitating the use of trustworthy data sources such as Yahoo Finance, Google Finance, or dedicated financial data services like Bloomberg or Reuters. These sources allow users to extract specific closing prices on given dates, ensuring data integrity and relevance. When retrieving data, it is crucial to verify that the closing prices correspond exactly to the specified dates, accounting for weekends, holidays, or other market closures that might alter trading days.
After acquiring the data, the next step is inputting the numbers meticulously into the spreadsheet. Each cell under the respective date and stock should contain the accurate closing price. Data validation techniques, such as checking for outliers or discrepancies, can enhance accuracy. Additionally, formatting should be consistent, with numerical values aligned correctly and headers clearly labeled to avoid confusion.
Beyond data entry, the instructions specified in the first attachment, which detail formatting and presentation guidelines, should be followed carefully. These may include setting appropriate column widths, applying borders, highlighting headers, or additional instructions on how to style and organize the data for clarity and professionalism.
This exercise is not merely about data entry but also about understanding the significance of accurate historical stock data. Such records are vital for performing subsequent analyses, including calculating returns, volatility, or conducting trend analysis. Moreover, understanding the broader market conditions over this period could contextualize the observed stock performance, particularly considering economic factors present in 2013.
In conclusion, this task integrates data gathering skills, precision, organization, and adherence to specific instructions, culminating in an Excel document that accurately reflects the weekly closing prices of ten major stocks over seven weeks starting from July 12, 2013. The end product should serve as a reliable
foundation for further financial analysis, providing clear insights into the stock market performance during this period.
References
Yahoo Finance. (2013). Historical Data for Stocks. Retrieved from https://finance.yahoo.com
Google Finance. (2013). Historical Stock Prices. Retrieved from https://www.google.com/finance
Investopedia. (2020). How to Collect and Use Historical Stock Data. Retrieved from https://www.investopedia.com
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Thomsett, M. C. (2017). The Little Book of Stock Market Cycles. McGraw-Hill Education.
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